Publications

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  1. Black, W., Rowley, A., Miwa, M., McNaught, J., & Ananiadou, S. (2016). Text Mining for Semantic Search in Europe PubMed Central Labs. In E. Tonkin, & G. Tourte (Eds.), Working with Text: Tools, Techniques and Approaches for Text Mining. (pp. 111-131). (Chandos Information Professional Series). Cambridge: Chandos. . Publication link: ffd7b522-aa8a-4a87-bbdd-0db96a23a11e
  2. Shardlow, M., Przybyla, P., Batista-Navarro, R. T., Carter, J., McNaught, J., & Ananiadou, S. (2016). Facilitating and promoting web annotation with Argo. In Proceedings of I Annotate 2016.. Publication link: a16570a0-3ae7-479b-a0ea-1b148d93ae64
  3. Thompson, P., Batista-Navarro, R. T., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., ... Ananiadou, S. (2016). Text mining the history of medicine. P L o S One, 11(1), [e0144717]. DOI: 10.1371/journal.pone.0144717. Publication link: a4ba4803-be78-4b32-8ec1-5a98acb2ea41
  4. Thompson, P., Carter, J., McNaught, J., & Ananiadou, S. (2016). Semantically enhanced search system for historical medical archives. In G. Guidi, R. Scopigno, J. C. Torres, & H. Graf (Eds.), 2015 Digital Heritage. (Vol. 2, pp. 387-390). IEEE. DOI: 10.1109/DigitalHeritage.2015.7419530. Publication link: 29baddfd-0d82-42c1-92d6-a0acd4e91f9f
  5. Rehm, G., Uszkoreit, H., Garabik, R., Grobelnik, M., García-Mateo, C., van Genabith, J., ... Daelemans, W. (2016). The strategic impact of META-NET on the regional, national and international level. Language Resources and Evaluation, 50(2), 351-374. DOI: 10.1007/s10579-015-9333-4. Publication link: 4bb2603f-86d5-4452-a550-f8e8c495eb6c
  6. Thompson, P., McNaught, J., & Ananiadou, S. (2016). Customised OCR correction for historical medical text. In G. Guidi, R. Scopigno, J. C. Torres, & H. Graf (Eds.), 2015 Digital Heritage. (Vol. 1, pp. 35-41). IEEE. DOI: 10.1109/DigitalHeritage.2015.7413829. Publication link: 1a80e7c4-9239-4bc9-8fae-c2eb0382f781
  7. Thompson, P., Nawaz, R., McNaught, J., & Ananiadou, S. (2016). Enriching News Events with Meta-knowledge Information. Language Resources and Evaluation, 1–30. DOI: 10.1007/s10579-016-9344-9. Publication link: 8750fd86-3ceb-4823-90c4-1c157980d936
  8. Przybyla, P., Shardlow, M., Aubin, S., Bossy, R., Eckart de Castilho, R., Piperidis, S., ... Ananiadou, S. (2016). Text Mining Resources for the Life Sciences. Database, 2016. DOI: 10.1093/database/baw145. Publication link: 8edb37c2-cec7-411d-902b-6bf8178e12fb
  9. McNaught, J., & AlGahtani, S. (2015). Joint Arabic segmentation and part-of-speech tagging. In N. Habash, S. Vogel, & K. Darwish (Eds.), Proceedings of the Second Workshop on Arabic Natural Language Processing. (pp. 108-117). Stroudsburg, USA: Association for Computational Linguistics. . Publication link: fdfcf5e4-0bf6-4204-8122-d86938064082
  10. Almagrabi, H., Malibari, A., & McNaught, J. (2015). A survey of quality prediction of product reviews. International Journal of Advanced Computer Science and Applications, 6(11), 49-58. [7]. DOI: 10.14569/IJACSA.2015.061107. Publication link: 30562523-51ea-42f8-9351-e0dca4c8e773
  11. O'Mara-Eves, A., Thomas, J., McNaught, J., Miwa, M., & Ananiadou, S. (2015). Using text mining for study identification in systematic reviews: a systematic review of current approaches. Systematic Reviews, 4(5). DOI: 10.1186/2046-4053-4-5. Publication link: 195249ea-380c-4499-9132-b5401626d4a2
  12. Ananiadou, S., Thompson, P., Nawaz, R., McNaught, J., & Kell, D. (2015). Event-based text mining for biology and functional genomics. Briefings in Functional Genomics, 14(3), 213-30. DOI: 10.1093/bfgp/elu015. Publication link: 9284975e-2b46-4311-b108-476722f296f5 | PubMed:24907365
  13. Gou, Y., Graff, F., Rossiter, P., Talo, F., Vartak, V., Coleman, L-A., ... Pi, X. (2014). Europe PMC: a full-text literature database for the life sciences and platform for innovation. Nucleic Acids Research, 1-7. DOI: 10.1093/nar/gku1061. Publication link: fdf340ae-5e58-49bf-9a13-dfb3f2b0ae5c
  14. Rehm, G., Uszkoreit, H., Ananiadou, S., Bel, N., Bielevičiené, A., Borin, L., ... Zabarskaitė, J. (2014). The Strategic Impact of META-NET on the Regional, National and International Level. In N. Calzolari, K. Choukri, T. Declerck, H. Loftsson, B. Maegaard, J. Mariani, & A. Moreno (Eds.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). (pp. 1517-1524). European Language Resources Association. . Publication link: f1e4bd7c-f556-47a2-8649-9beb45c8de35
  15. Sutcliffe, A., De Bruijn, O., Thew, S., Buchan, I., Jarvis, P., Mcnaught, J., & Procter, R. (2014). Developing visualization-based decision support tools for epidemiology.Information Visualization, 13(1), 3-17. DOI: 10.1177/1473871612445832 . Publication link: 97f6a9e1-9728-4416-8c00-06dc558df1ff
  16. Thomas, J. M., O'Mara-Eves, A., Mcnaught, J., & Ananiadou, S. (2013). Re: The automation of systematic reviews. British Medical Journal, 346. . Publication link: 5b2df045-65aa-4a16-ae2f-7c97b102beba
  17. Alhazmi, S., Black, W., & McNaught, J. (2013). Arabic SentiWordNet in Relation to SentiWordNet 3.0. International Journal of Computational Linguistics, 4(1), 1-11. . Publication link: acaa87af-fa6c-4c61-9d22-7516203a1a81
  18. Thompson, P., Nawaz, R., Korkontzelos, I., Black, W., McNaught, J., & Ananiadou, S. (2013). News search using discourse analytics. In Proceedings of the DigitalHeritage 2013 - Federating the 19th Int'l VSMM, 10th Eurographics GCH, and 2nd UNESCO Memory of the World Conferences, Plus Special Sessions fromCAA, Arqueologica 2.0 et al.|Proc. Digit. Herit. Int. Congr., DigitalHeritage - Fed. Int. VSMM, Eurographics GCH, UNESCO Mem. World Conf., Plus Spec. Ses. (Vol. 1, pp. 597-604). Piscataway, NJ: IEEE. DOI: 10.1109/DigitalHeritage.2013.6743801. Publication link: c234c92d-a12b-489b-835d-61ef14cee0d8
  19. Thomas, J., O'Mara-Eves, A., McNaught, J., & Ananiadou, S. (2013). The potential of text mining to reduce screening workload in systematic reviews: a retrospective evaluation. 5-5. Poster session presented at 21st Cochrane Colloquium, Quebec, .. Publication link: fc5da96d-54a7-40b5-b41b-571c413eeebb
  20. Miwa, M., Thompson, P., McNaught, J., Kell, D., & Ananiadou, S. (2012). Extracting semantically enriched events from biomedical literature.BMC Bioinformatics, 13(1), [108]. DOI: 10.1186/1471-2105-13-108. Publication link: c670d5bd-a7d1-40d2-8623-ce1e5b03bce1 | PubMed:22621266
  21. Ananiadou, S., McNaught, J., & Thompson, P. (2012). The English Language in the Digital Age. (META-NET White Paper Series). Heidelberg: Springer Verlag. DOI: 10.1007/978-3-642-30684-6. Publication link: a224bb13-6e2e-47e3-818b-ed2ef3f466af
  22. Thomas, J., McNaught, J., & Ananiadou, S. (2011). Applications of text mining within systematic reviews. Research Synthesis Methods, 2(1), 1-14. DOI: 10.1002/jrsm.27. Publication link: 67ce1683-00ed-4b70-999a-522ba95b77e6
  23. Thompson, P., Nawaz, R., McNaught, J., & Ananiadou, S. (2011). Enriching a biomedical event corpus with meta-knowledge annotation. BMC Bioinformatics, 12, [393]. DOI: 10.1186/1471-2105-12-393. Publication link: 7164ecd5-2af4-44a5-bac6-2d8e6b6e7d61
  24. Thompson, P., McNaught, J., Montemagni, S., Calzolari, N., del Gratta, R., Lee, V., ... Ananiadou, S. (2011). The BioLexicon: A large-scale terminological resource for biomedical text mining. BMC Bioinformatics, 12, [397]. DOI: 10.1186/1471-2105-12-397. Publication link: 959e688d-8ae6-4522-ad7c-5a84525b8129
  25. Thompson, P., Kano, Y., McNaught, J., Pettifer, S., Attwood, T., Keane, J., & Ananiadou, S. (2011). Promoting Interoperability of Resources in META-SHARE. In C. N, I. T, P. S, & S. V (Eds.), IJCNLP 2011 Proceedings of the Workshop on Language Resources,Technology and Services in the Sharing Paradigm. (pp. 50-58). Asian Federation of Natural Language Processing. . Publication link: 1fd6fc11-3f33-43e2-8695-2aab079e467f
  26. Ananiadou, S., Thompson, P., Kano, Y., McNaught, J., Attwood, T., Day, P. J. R., ... Pettifer, S. (2011). Towards Interoperability of European Language Resources. Ariadne, 67. . Publication link: 3defeb41-695d-44b8-8044-5654c807c6e5
  27. McEntyre, J. R., Ananiadou, S., Andrews, S., Black, W. J., Boulderstone, R., Buttery, P., ... Vaughan, P. (2011). UKPMC: A full text article resource for the life sciences. Nucleic acids research., 39(1), D58-D65. DOI: 10.1093/nar/gkq1063. Publication link: c4788750-2941-4d51-b3b8-95aa852153c9 | PubMed:21062818
  28. Rupp, C., Thompson, P., Black, W., McNaught, J., & Ananiadou, S. (2010). A Specialised Verb Lexicon as the Basis of Fact Extraction in the Biomedical Domain. In Proceedings of interdisciplinary workshop on verbs: the identification and representation of verb features (Verb 2010). (pp. 6pp). Pisa. . Publication link: 755c5d11-8793-4408-9886-3b204a358a85
  29. Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., ... McNaught, J. (2010). Supporting the education evidence portal via text mining. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1925), 3829-3844. DOI: 10.1098/rsta.2010.0152. Publication link: 833b310c-a637-4957-a28d-a5bfbbfcae1a
  30. Black, W., Rupp, C., Nobata, C., McNaught, J., Tsujii, J., & Ananiadou, S. (2010). High-Precision Semantic Search by Generating and Testing Questions. In Proceedings of the UK e-Science All Hands Meeting. (pp. 3pp). Publication link: 4c8ee5f9-503e-47d3-b46b-5581d885e2f3
  31. Nawaz, R., Thompson, P., McNaught, J., & Ananiadou, S. (2010). Meta-knowledge annotation of bio-events. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC2010). (pp. 2498-2505). Paris: European Language Resources Association. . Publication link: 111f9cdb-d727-4a00-a733-2b08198f8594
  32. Sasaki, Y., McNaught, J., & Ananiadou, S. (2010). The value of an in-domain lexicon in genomics QA. Journal of Bioinformatics and Computational Biology, 8(1), 147-161. DOI: 10.1142/S0219720010004513. Publication link: 1f2e81a0-b85c-454f-af67-5cc5d62e0a3f
  33. Ananiadou, S., McNaught, J., Thomas, J., & Oliver, S. (2010). Evaluating a text mining based educational search portal. In Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC2010). (pp. 3344-3350). Paris: European Language Resources Association. . Publication link: c0a62f05-5dad-4fa9-a351-28fa4649a63a
  34. Thew, S., Sutcliffe, A., De Bruijn, O., McNaught, J., Procter, R., Jarvis, P., & Buchan, I. (2010). Supporting creativity and appreciation of uncertainty in exploring geo-coded public health data. Methods of Information in Medicine, 50(2), 158-165. DOI: 10.3414/ME09-01-0070. Publication link: d04859ac-547e-414e-bb69-7c25db758d5d
  35. Thompson, P., Iqbal, S. A., McNaught, J., & Ananiadou, S. (2009). Construction of an annotated corpus to support biomedical information extraction. BMC Bioinformatics, 10, [349]. DOI: 10.1186/1471-2105-10-349. Publication link: 7fbe472f-ae7d-48ea-b90d-84e21b4b41d9
  36. Venturi, G., Montemagni, S., Marchi, S., Sasaki, Y., Thompson, P., McNaught, J., & Ananiadou, S. (2009). Bootstrapping a verb lexicon for biomedical information extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5449, pp. 137-148). Heidelberg: Springer Verlag. DOI: 10.1007/978-3-642-00382-0_11. Publication link: 2f5107ee-df3e-4c23-b7e8-21ae939f9c9d
  37. Sasaki, Y., Thompson, P., McNaught, J., & Ananiadou, S. (2009). Biological event recognition with textual induction. In Proceedings of the 3rd International Symposium on Languages in Biology and Medicine (LBM-2009). (pp. 91-96). Publication link: 33aab968-bdc2-4736-989a-e674790fab34
  38. Algahtani, S., Black, W., & McNaught, J. (2009). Arabic part of speech tagging using Tranformation-Based Learning. In Proceedings of the 2nd International Conference on Arabic Language Resources and Tools. (pp. -5pp). Publication link: c568fcf7-ad48-4930-9ef5-a3ba2d09be57
  39. Piao, S., Rea, B., McNaught, J., & Ananiadou, S. (2009). Improving full text search with text mining tools. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5723, pp. 301-302). DOI: 10.1007/978-3-642-12550-8_29. Publication link: cf06ab8d-b1a0-4de1-8fe6-5b45c0987278
  40. Thew, S., Sutcliffe, A., Procter, R., de Bruijn, O., McNaught, J., Venters, C., & Buchan, I. (2009). Requirements engineering for E-science: Experiences in epidemiology. IEEE Software, 26(1), 80-87. DOI: 10.1109/MS.2009.19. Publication link: ea545bcf-b25f-4af4-953d-9e0385a0ea2f
  41. Sasaki, Y., Thompson, P., McNaught, J., & Ananiadou, S. (2009). Three BioNLP Tools Powered by the BioLexicon. In Proceeedings of EACL 2009 : Demonstration Session. (pp. 61-64). Publication link: f1842e1c-3d51-4925-97c0-c19574b18500
  42. Thompson, P., Venturi, G., McNaught, J., Montemagni, S., & Ananiadou, S. (2008). Categorising Modality in Biomedical Texts. In Proceedings of the LREC 2008 Workshop on Building and Evaluating Resources for Biomedical Text Mining.. (pp. 27-34). Publication link: edf5928a-d14d-4776-9edb-8d35bfa66804
  43. Thew, S., Sutcliffe, A., De Bruijn, O., McNaught, J., Procter, R., Venters, C., & Buchan, I. (2008). Experience in e-Science Requirements Engineering. In Proceedings of the 16th IEEE International Requirements Engineering Conference, RE'08|Proc. IEEE Int. Requir. Eng. Conf., RE. (pp. 277-282). IEEE Explore Digital Library: IEEE. DOI: 10.1109/RE.2008.34. Publication link: cd0eb4bc-ccb2-4f1b-a43b-df51e458f7b5
  44. Splendiani, A., Piao, S., Sasaki, Y., Ananiadou, S., McNaught, J., & Burgun, A. (2008). Compositional Enrichment of Bio-Ontologies. In Proceedings of 11th Annual Bio-Ontologies Meeting, at the Intelligent Systems for Molecular Biology 2008 Conference (ISMB-2008).. Publication link: b3453455-66e0-4836-97f1-57ad3743a5ca
  45. Sasaki, Y., Thompson, P., Cotter, P., McNaught, J., & Ananiadou, S. (2008). Event frame extraction based on a gene regulation corpus. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference|Coling - Int. Conf. Comput. Linguist., Proc. Conf.. (Vol. 1, pp. 761-768). Publication link: bc1538ab-c503-41f8-8332-0fc022f509a3
  46. Piao, S., McNaught, J., & Ananiadou, S. (2008). Clustering Related Terms with Definitions. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). (pp. 2013-2019). Publication link: 489f9211-0249-4ff1-829d-e95152ed24de
  47. Thompson, P., Cotter, P., McNaught, J., Ananiadou, S., Montemagni, S., Trabucco, A., & Venturi, G. (2008). Building a Bio-Event Annotated Corpus for the Acquisition of Semantic Frames from Biomedical Corpora. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). (pp. 2159-2166). Publication link: 31279678-6483-4bd3-8f19-92520bc7b6eb
  48. Sasaki, Y., Tsuruoka, Y., McNaught, J., & Ananiadou, S. (2008). How to make the most of NE dictionaries in statistical NER. BMC Bioinformatics, 9(supplement 11), [S5]. DOI: 10.1186/1471-2105-9-S11-S5. Publication link: 73853d1b-b031-4a70-b7f2-21638f3122fb
  49. Sasaki, Y., Thompson, P., Cotter, P., McNaught, J., & Ananiadou, S. (2008). Event frame extraction based on a gene regulation corpus. 761-768. Paper presented at 22nd International Conference on Computational Linguistics, Coling 2008, Manchester, .. Publication link: 70c53b33-a3e6-4117-adb3-0f3e8fb124e0
  50. Tsuruoka, Y., McNaught, J., & Ananiadou, S. (2008). Normalizing biomedical terms by minimizing ambiguity and variability. BMC Bioinformatics, 9(3), [S2]. DOI: 10.1186/1471-2105-9-S3-S2. Publication link: 54a10e04-30d1-4db5-bb77-88f9899f66c8
  51. Rebholz-Schuhmann, D., Pezik, P., Lee, V., Kim, J-J., del Gratta, R., Sasaki, Y., ... Ananiadou, S. (2008). BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain. In Proceedings of the of the 16th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB-2008).. Publication link: 5c971568-c602-4bd1-890f-5906fb138124
  52. Thompson, P., & Ananiadou, S. (2017). Extracting Gene-Disease Relations from Text to Support Biomarker Discovery. In Digital Health 2017: Global Public Health, Personalised Medicine, and Emergency Medicine in the Age of Big Data. ACM Digital Library. . Publication link: 190d5404-b136-4fbf-b6d5-179c0f858e1c
  53. Sato, M., Brockmeier, A., Kontonatsios, G., Mu, T., Goulermas, J., Tsujii, J., & Ananiadou, S. (2017). Distributed Document and Phrase Co-embeddings for Descriptive Clustering. 991-1001. Paper presented at European Chapter of the Association for Computational Linguistics, Valencia, Spain.. Publication link: d3cf79e1-2978-4789-b3b6-cd173d040458
  54. Rehm, G., Uszkoreit, H., Garabik, R., Grobelnik, M., García-Mateo, C., van Genabith, J., ... Daelemans, W. (2016). The strategic impact of META-NET on the regional, national and international level. Language Resources and Evaluation, 50(2), 351-374. DOI: 10.1007/s10579-015-9333-4. Publication link: 4bb2603f-86d5-4452-a550-f8e8c495eb6c
  55. Thompson, P., Carter, J., McNaught, J., & Ananiadou, S. (2016). Semantically enhanced search system for historical medical archives. In G. Guidi, R. Scopigno, J. C. Torres, & H. Graf (Eds.), 2015 Digital Heritage. (Vol. 2, pp. 387-390). IEEE. DOI: 10.1109/DigitalHeritage.2015.7419530. Publication link: 29baddfd-0d82-42c1-92d6-a0acd4e91f9f
  56. Wang, Q., Abdul, S. S., Almeida, L., Ananiadou, S., Balderas-Martínez, Y. I., Batista-Navarro, R., ... Arighi, C. N. (2016). Overview of the interactive task in BioCreative V. Database, 2016, [baw119]. DOI: 10.1093/database/baw119. Publication link: 199c0e58-4cf5-40fc-9827-ffea64f29029
  57. Thompson, P., McNaught, J., & Ananiadou, S. (2016). Customised OCR correction for historical medical text. In G. Guidi, R. Scopigno, J. C. Torres, & H. Graf (Eds.), 2015 Digital Heritage. (Vol. 1, pp. 35-41). IEEE. DOI: 10.1109/DigitalHeritage.2015.7413829. Publication link: 1a80e7c4-9239-4bc9-8fae-c2eb0382f781
  58. Przybyla, P., Shardlow, M., Aubin, S., Bossy, R., Eckart de Castilho, R., Piperidis, S., ... Ananiadou, S. (2016). Text Mining Resources for the Life Sciences. Database, 2016. DOI: 10.1093/database/baw145. Publication link: 8edb37c2-cec7-411d-902b-6bf8178e12fb
  59. Alnazzawi, N., Thompson, P., & Ananiadou, S. (2016). Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain- Specific Terminological Resource. PLoS One., 11(9), [e0162287]. DOI: 10.1371/journal.pone.0162287. Publication link: 8ddb1a3d-bf6f-4aa0-aa34-82bb933777a4
  60. Thompson, P., Nawaz, R., McNaught, J., & Ananiadou, S. (2016). Enriching News Events with Meta-knowledge Information. Language Resources and Evaluation, 1–30. DOI: 10.1007/s10579-016-9344-9. Publication link: 8750fd86-3ceb-4823-90c4-1c157980d936
  61. Batista-Navarro, R. T., Soto, A., Ulate, W., & Ananiadou, S. (2016). Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata. 471-473. Research and Advanced Technology for Digital Libraries - 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, , .DOI: 10.1007/978-3-319-43997-6. Publication link: 89a366f5-4eb5-4434-9fad-d4e08e1f3988
  62. Korkontzelos, I., Azadeh Nikfarjamb, Shardlow, M., Sarkerb, A., Ananiadou, S., & Graciela H. Gonzalez (2016). Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. Journal of Biomedical Informatics, 62, 148–158. DOI: 10.1016/j.jbi.2016.06.007. Publication link: 70a3f77e-6614-46d5-9467-d4572d518319
  63. Przybyla, P., Nguyen, N., Shardlow, M., Kontonatsios, G., & Ananiadou, S. (2016). NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features. In Proceedings of the 10th International Workshop on Semantic Evaluation .. Publication link: 681463b9-1bd9-4179-bc75-fcd7044b9c2b
  64. Hashimoto, K., Kontonatsios, G., Miwa, M., & Ananiadou, S. (2016). Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews. Journal of Biomedical Informatics, 62, 59–65. DOI: 10.1016/j.jbi.2016.06.001. Publication link: dcd353e0-c6e8-42e5-ae42-ae7677e183ab
  65. Thompson, P., Batista-Navarro, R. T., Kontonatsios, G., Carter, J., Toon, E., McNaught, J., ... Ananiadou, S. (2016). Text mining the history of medicine. P L o S One, 11(1), [e0144717]. DOI: 10.1371/journal.pone.0144717. Publication link: a4ba4803-be78-4b32-8ec1-5a98acb2ea41
  66. Shardlow, M., Przybyla, P., Batista-Navarro, R. T., Carter, J., McNaught, J., & Ananiadou, S. (2016). Facilitating and promoting web annotation with Argo. In Proceedings of I Annotate 2016.. Publication link: a16570a0-3ae7-479b-a0ea-1b148d93ae64
  67. Batista-Navarro, R., Hammock, J., Ulate, W., & Ananiadou, S. (2016). A text mining framework for accelerating the semantic curation of literature. In Research and Advanced Technology for Digital Libraries - 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, Proceedings. (Vol. 9819, pp. 459-462). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9819). Springer-Verlag, London. DOI: 10.1007/978-3-319-43997-6_44. Publication link: c279c8a8-e87b-4cf0-b97f-61bd66d5a15f
  68. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2016). Argo: Enabling the development of bespoke workflows and services for disease annotation. Database: The Journal of Biological Databases and Curation. DOI: 10.1093/database/baw066. Publication link: f6f973f9-77c1-4089-af5d-1932ef468a09
  69. Black, W., Rowley, A., Miwa, M., McNaught, J., & Ananiadou, S. (2016). Text Mining for Semantic Search in Europe PubMed Central Labs. In E. Tonkin, & G. Tourte (Eds.), Working with Text: Tools, Techniques and Approaches for Text Mining. (pp. 111-131). (Chandos Information Professional Series). Cambridge: Chandos. . Publication link: ffd7b522-aa8a-4a87-bbdd-0db96a23a11e
  70. Korkontzelos, I., Piliouras, D., Dowsey, A. W., & Ananiadou, S. (2015). Boosting Drug Named Entity Recognition Using an Aggregate Classifier. Artificial Intelligence in Medicine, 65(2), 145–153. DOI: 10.1016/j.artmed.2015.05.007. Publication link: bbe69443-386a-46bd-8378-fadc7f56ef3a
  71. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2015). Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. (pp. 51-56). Seville, Spain. . Publication link: bf59c608-d8be-4cf9-bfc8-cbe0c881926a
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  286. Karystianis, G., Sheppard, T., Dixon, W. G., & Nenadic, G. (2016). Modelling and extraction of variability in free-text medication prescriptions from an anonymised primary care electronic medical record research database.BMC Medical Informatics and Decision Making, 16(1). DOI: 10.1186/s12911-016-0255-x. Publication link: 0833526c-e904-4a5b-8ac6-48d29dba5189 | PubMed:26860263
  287. Milosevic, N., Nenadic, G., Gregson, C., & Hernandez, R. (2016). Disentangling the Structure of Tables in Scientific Literature. In Natural Language Processing and Information Systems: 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, UK, June 22-24, 2016, Proceedings. (Vol. 9612, pp. 162-174). (Lecture Notes in Computer Science; Vol. 9612). Switzerland: Springer Verlag. DOI: 10.1007/978-3-319-41754-7_14. Publication link: 473111c2-52e9-493a-be8c-1a78c5b7ce36
  288. Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2016). Extracting patient data from tables in clinical literature: Case study on extraction of BMI, weight and number of patients. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). (pp. 223-228). Rome: CitePress. DOI: 10.5220/0005660102230228. Publication link: 5fd42b94-fa5b-43a1-a088-1bb05759c4be
  289. Duck, G., Nenadic, G., Filannino, M., Brass, A., Robertson, D. L., & Stevens, R. (2016). A survey of bioinformatics database and software usage through mining the literature. PLoS ONE, 11(6), [e0157989]. DOI: 10.1371/journal.pone.0157989. Publication link: d48c4b39-7ddb-4c86-ba6c-849b6f8f1a20
  290. Chen, Y., Ponocko, J., Milosevic, N., Nenadic, G., & Milanovic, J. V. (2016). Towards application of text mining for enhanced power network data analytics - Part II: Offline analysis of textual data. In IET Conference Publications. (CP711 ed., Vol. 2016). Institution of Engineering and Technology. . Publication link: a05f82a6-0d52-4a62-90e7-bcafc464437e
  291. Milosevic, N., & Nenadic, G. (2016). As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian. ArXiv. . Publication link: a723bd68-7ffa-4145-899e-2e77b585ac46
  292. Chen, P., Ponocko, J., Milosevic, N., Nenadic, G., & Milanovic, J. V. (2016). Towards application of text mining for enhanced power network data analytics - Part I: Retrieval and ranking of textual data from the internet. In IET Conference Publications. (CP711 ed., Vol. 2016). Institution of Engineering and Technology. . Publication link: b5929756-b2db-449f-b4bd-f3a7ed2f4b98
  293. Read, W. J., Demetriou, G., Nenadic, G., Ruddock, N., Stevens, R., & Winter, J. (2016). The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing. Journal of Biomedical Semantics, 7, [30]. DOI: 10.1186/s13326-016-0071-3. Publication link: f025c63f-3761-4da2-878c-253aa08bcc96
  294. Stoney, R., Ames, R., Nenadic, G., Robertson, D., & Schwartz, J. M. (2015). Disentangling the multigenic and pleiotropic nature of molecular function. BMC Systems Biology, 9(Suppl 6), S3. DOI: 10.1186/1752-0509-9-S6-S3. Publication link: 847f8679-0c1d-4cff-908d-3adb6d55947e | PubMed:26678917
  295. Nenadic, G. (2015). Contextualisation of Biomedical Knowledge through Large-scale Processing of Literature, Clinical Narratives and Social Media. Lecture Notes in Computer Science, 9105, 7-9. DOI: 10.1007/978-3-319-19551-3_2. Publication link: 98f5e4bb-75b1-4747-add6-141899c150a8
  296. Filannino, M., & Nenadic, G. (2015). Temporal expression extraction with extensive feature type selection and a posteriori label adjustment. Data & Knowledge Engineering, 100(A), 19-33. DOI: 10.1016/j.datak.2015.09.002. Publication link: 4f946106-37c0-4127-8426-60c9219f832d
  297. Wu, C., Schwartz, J. M., Brabant, G., Peng, S. L., & Nenadic, G. (2015). Constructing a molecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events.BMC Systems Biology, 9(Suppl 6), S5. DOI: doi:10.1186/1752-0509-9-S6-S5. Publication link: 00b827f0-9f30-4f9a-9e10-31cd100ba003 | PubMed:26679379
  298. Milosevic, N., Gregson, C., Hernandez, R., & Nenadic, G. (2015). Supporting clinical trial data curation from literature with table mining. Poster session presented at Postgraduate Summer Research Showcase 2015, Withworth Hall, .. Publication link: 0fe69da9-1f9e-4fb0-bdd8-5d40ce11afb2
  299. Dehghan, A., Kovacevic, A., Karystianis, G., Keane, J. A., & Nenadic, G. (2015). Combining knowledge- and data-driven methods for de-identification of clinical narratives. Journal of Biomedical Informatics, 58(Supplement), S53-S59. DOI: 10.1016/j.jbi.2015.06.029. Publication link: 4bf61a22-35af-41f8-9b2c-33bda9c2e992
  300. Karystianis, G., Dehghan, A., Kovacevic, A., Keane, J. A., & Nenadic, G. (2015). Using local lexicalized rules to identify heart disease risk factors in clinical notes. Journal of Biomedical Informatics, 58(Supplement), S183-S188. DOI: 10.1016/j.jbi.2015.06.013. Publication link: c8074d16-f3b3-4dfc-aa0d-774c8e135b90
  301. Duck, G., Kovacevic, A., Robertson, D. L., Stevens, R., & Nenadic, G. (2015). Ambiguity and variability of database and software names in bioinformatics. Journal of Biomedical Semantics, 6, [29]. DOI: 10.1186/s13326-015-0026-0. Publication link: dd026a12-fa1c-4cf8-9f87-934e4f36c739
  302. Filannino, M., & Nenadic, G. (2014). Mining temporal footprints from Wikipedia. In Proceedings of the First AHA!-Workshop on Information Discovery in Text. (pp. 7-13). ACM. . Publication link: c53ccf2f-c7d8-4caa-8f85-78811ada0c9c
  303. Wallbridge, S., Lowe, A. J., Keane, J. A., Nenadic, G., & Cooper, J. (2014). An ontological approach to knowledge management for sustainable nuclear decommissioning. International Journal of Nuclear Knowledge Management, 6(3), 199-216. DOI: 10.1504/IJNKM.2014.058924. Publication link: cf990706-7bfd-4c35-ab9f-31e3956654ef
  304. Milosevic, N., & Nenadic, G. (2014). Table mining and data curation from biomedical literature. (End of first year PhD report). Manchester: Univeristy of Manchester.. Publication link: fb59ab9b-223d-4f48-8292-81b756e17821
  305. Karystianis, G., Buchan, I., & Nenadic, G. (2014). Mining characteristics of epidemiological studies from Medline: a case study in obesity.Journal of Biomedical Semantics, 5. DOI: 10.1186/2041-1480-5-22. Publication link: f8ea1d98-70da-4ab8-9bf9-4886868700f2 | PubMed:24949194
  306. Duck, G., Nenadic, G., Brass, A., Robertson, D. L., & Stevens, R. (2014). Extracting patterns of database and software usage from the bioinformatics literature. Bioinformatics, 30(17), 601-608. DOI: 10.1093/bioinformatics/btu471. Publication link: 40e04357-58b8-450f-ac37-d82c2a6af1c3 | PubMed:25161253
  307. Wu, C., Schwartz, J. M., Brabant, G., & Nenadic, G. (2014). Molecular profiling of thyroid cancer subtypes using large-scale text-mining. BMC Medical Genomics, 7((Suppl 3):S3), S3. [S3]. DOI: 10.1186/1755-8794-7-S3-S3. Publication link: 4e5f9d8d-b9a7-4b3c-a303-b977f440d540
  308. Jamieson, D. G., Moss, A., Kennedy, M., Jones, S., Nenadic, G., Robertson, D. L., & Sidders, B. (2014). The pain interactome: Connecting pain-specific protein interactions. Pain. DOI: 10.1016/j.pain.2014.06.020. Publication link: 33064c2e-186c-465a-94b3-84fdac61d601 | PubMed:24978826
  309. Spasic, I., Livsey, J., Keane, J. A., & Nenadic, G. (2014). Text mining of cancer-related information: Review of current status and future directions. International Journal of Medical Informatics, 83(9), 603-623. DOI: 10.1016/j.ijmedinf.2014.06.009. Publication link: 19d70b39-14fe-4991-a852-9ec7884dbc55
  310. Zaki Ali, M., Nenadic, G., Theodoulidis, B., M??tais, E. (Ed.), Roche, M. (Ed.), & Teisseire, M. (Ed.) (2014). Identification of Multi-Focal Questions in Question and Answer Reports. In Natural Language Processing and Information Systems. (Vol. 8455, pp. 126-137). (Lecture Notes in Computer Science). Springer International Publishing. . Publication link: 89f5a99a-1359-43a6-a407-53367f5e252a
  311. Hakenberg, J., Nenadic, G., Rebholz-Schuhmann, D., & Kim, J. D. (2013). Literature mining solutions for life science research. Advances in Bioinformatics, 2013, [320436]. DOI: 10.1155/2013/320436. Publication link: 0bb073f7-f745-45d2-9360-b4240798d68c
  312. Tian, D., Gledson, A., Antoniades, A., Aristodimou, A., Dimitrios, N., Sahay, R., ... Keane, J. (2013). A bayesian association rule mining algorithm. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013|Proc. - IEEE Int. Conf. Syst., Man, Cybern., SMC. (pp. 3258-3264). IEEE Xplore. DOI: 10.1109/SMC.2013.555. Publication link: 046f4cec-681b-468a-b0d4-09e1780e4385
  313. Jamieson, D. G., Roberts, P. M., Robertson, D. L., Sidders, B., & Nenadic, G. (2013). Cataloguing the biomedical world of pain through semi-automated curation of molecular interactions. Database, [bat033]. DOI: doi:10.1093/database/bat033. Publication link: 8dc3088c-3e50-43c3-9a45-409cdc068df1
  314. Kovačević, A., Dehghan, A., Filannino, M., Keane, J. A., & Nenadic, G. (2013). Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives. Journal of the American Medical Informatics Association, 20(5), 859-866. DOI: 10.1136/amiajnl-2013-001625. Publication link: 6c459eae-4583-455d-9ec6-80adb154ef39
  315. Duck, G., Nenadic, G., Brass, A., Robertson, D. L., & Stevens, R. (2013). BioNerDS: Exploring bioinformatics' database and software use through literature mining. BMC Bioinformatics, 14(1), [194]. DOI: 10.1186/1471-2105-14-194. Publication link: 705055ba-b73f-4ac1-b434-c91d5dec5042 | PubMed:23768135
  316. Wu, C., Schwartz, J-M., & Nenadic, G. (2013). PathNER: A tool for systematic identification of biological pathway mentions in the literature. BMC Systems Biology, 7(Suppl3). DOI: 10.1186/1752-0509-7-S3-S2. Publication link: c18b09b0-894d-42dd-9b15-38e7373e5939 | PubMed:24555844
  317. Kovačević, A., Konjović, Z., Milosavljević, B., & Nenadic, G. (2012). Mining methodologies from NLP publications: A case study in automatic terminology recognition. Computer Speech and Language, 26(2), 105-126. DOI: 10.1016/j.csl.2011.09.001. Publication link: 8d2fea3d-2e9a-4804-8092-18f36f93cc44
  318. Kovacevic, A., Dehghan, A., Keane, J., & Nenadic, G. (2012). Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning. Biomedical Informatics Insight. . Publication link: 3d55e64f-b852-4a6b-befc-0bbe67f8fbde
  319. Duck, G., Robertson, D., Stevens, R., & Nenadic, G. (2012). Ambiguity and variability of database and software names in bioinformatics. In SMBM 2012 - Proceedings of the 5th International Symposium on Semantic Mining in Biomedicine|SMBM - Proc. Int. Symp. Semantic Min. Biomed.. (pp. 2-9). http://www.zora.uzh.ch/64476/. DOI: 10.5167/uzh-64476. Publication link: ea2ea0a0-da0a-4e8c-b801-2219c3bb5cde
  320. Jamieson, D. G., Gerner, M., Sarafraz, F., Nenadic, G., & Robertson, D. L. (2012). Towards semi-automated curation: Using text mining to recreate the HIV-1, human protein interaction database. Database, 2012, [bas023]. DOI: 10.1093/database/bas023. Publication link: dac4a86a-e696-414e-9c04-5234bbca22bc | PubMed:22529179
  321. Gerner, M., Sarafraz, F., Bergman, C. M., & Nenadic, G. (2012). BioContext: An integrated text mining system for large-scale extraction and contextualization of biomolecular events. Bioinformatics, 28(16), 2154-2161. [bts332]. DOI: 10.1093/bioinformatics/bts332. Publication link: b06cad03-baf4-43d8-8de1-d4491a004881 | PubMed:22711795
  322. Baran, J., Gerner, M., Haeussler, M., Nenadic, G., & Bergman, C. M. (2011). pubmed2ensembl: A resource for mining the biological literature on genes. PLoS ONE, 6(9), [e24716]. DOI: 10.1371/journal.pone.0024716. Publication link: 5afdc557-0d00-4b48-a78c-88f86b92e966 | PubMed:21980353
  323. Afzal, H., Eales, J., Stevens, R., & Nenadic, G. (2011). Mining Semantic Networks of Bioinformatics e-Resources from the Literature. Journal of Biomedical Semantics, 2(Suppl. 1). DOI: 10.1186/2041-1480-2-S1-S4. Publication link: 9e17947f-033f-4940-a829-e871b463874b
  324. Hakenberg, J., Gerner, M., Haeussler, M., Solt, I., Plake, C., Schroeder, M., ... Bergman, C. M. (2011). The GNAT library for local and remote gene mention normalization. Bioinformatics, 27(19), 2769-2771. [btr455]. DOI: 10.1093/bioinformatics/btr455. Publication link: 966b3222-110f-46ef-8f60-6e8f17e5a663 | PubMed:21813477
  325. Rebholz-Schuhmann, D., & Nenadic, G. (2010). Biomedical Semantics: The Hub for Biomedical Research 2.0. Journal of Biomedical Semantics, 1, [1]. DOI: 10.1186/2041-1480-1-1. Publication link: fd30bfef-2019-438e-a00b-02d638bdf906
  326. Nenadic, G., Gerner, M., & Bergman, C. M. (2010). An Exploration of Mining Gene Expression Mentions and their Anatomical Locations from Biomedical Text. In Proceedings of the BioNLP 2010 Workshop.. Publication link: f7584a04-f9eb-4e83-bfb0-c110930e79c4
  327. Nenadic, G., Stivaros, S., Zeng, X., Gledson, A., Hutchinson, C., Keane, J., & Jackson, A. (2010). Early Phase Validation of a Decision Support System within the Exemplar of Aneurysmal Subarachnoid Haemorrhage. In Proceedings of British Society of NeuroRadiologists Annual Conference (BSNR 2010).. Publication link: e1173257-6623-4ead-8d97-d3a19338c649
  328. Sarafraz, F., & Nenadic, G. (2010). Identification of negated regulation events in the literature: Exploring the feature space. 134-138. Poster session presented at 4th International Symposium on Semantic Mining in Biomedicine, SMBM 2010, Cambridge, .. Publication link: e70f7cab-be24-4764-a594-79e2ed14fc5d
  329. Nenadic, G., Latif, S., & Wood, M. M. (2010). Improving Clustering of Noisy Documents through Automatic Summarisation. Poster session presented at International Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Iasi, Romania, .. Publication link: 1857a8f3-7e51-4f84-8f5c-e3934887aa65
  330. Nenadic, G., Stivaros, S., Zeng, X., Laitt, R., Hughes, D., Williams, T., ... Jackson, A. (2010). Development of a Computerized Decision Support System for Treatment Planning and Outcome Prediction in Aneurysmal Subarachnoid Haemorrhage. In Proceedings of American Society of NeuroRadiologists 48th Annual Meeting.. Publication link: 421fb3d6-cbdf-440e-9572-f747fea57a22
  331. Nenadic, G., & Sarafraz, F. (2010). Using SVMs with the Command Relation Features to Identify Negated Events in Biomedical Literature. In Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010.. Publication link: 2a0b30fa-afe8-4574-9615-6d332bbdfdeb
  332. Nenadic, G., Baran, J., Gerner, M., Haeussler, M., & Bergman, C. (2010). pubmed2ensembl: Linking Publications and Genes. Poster session presented at Genome Informatics (UK) 2010, Hinxton, UK, .. Publication link: 8d851035-1a5d-4755-82a6-2f0e95e3e0c0
  333. Gerner, M., Nenadic, G., & Bergman, C. M. (2010). LINNAEUS: A species name identification system for biomedical literature. BMC Bioinformatics, 11, [85]. DOI: 10.1186/1471-2105-11-85. Publication link: 9d9f91c4-a7a1-49b2-951a-8b3f36b4ed7f | PubMed:20149233
  334. Nenadic, G., Solt, I., Gerner, M., Thomas, P., Bergman, C. M., Leser, U., & Hakenberg, J. (2010). Gene mention normalization in full texts using GNAT and LINNAEUS. In Proceedings of the BioCreative III Workshop.. Publication link: 98e228b8-27fc-4278-94c6-71a3286dfd41
  335. Afzal, H., Stevens, R., & Nenadic, G. (2009). Towards Semantic Network of Bioinformatics Resources. Poster session presented at ISMB/ECCB 2009, Stockholm, Sweden, .. Publication link: f27def94-1f25-4616-835d-9e406aa7b8fe
  336. Afzal, H., Eales, J., Stevens, R., & Nenadic, G. (2009). Mining semantic networks of bioinformatics e-resources from the literature. In CEUR Workshop Proceedings|CEUR Workshop Proc.. (Vol. 559). (CEUR Workshop Proceedings). CEUR-WS.org. . Publication link: c4bd00ad-1830-4819-885d-ea0857852606
  337. Latif, S., Wood, M. M., & Nenadic, G. (2009). Correlation between human assessment of essays and ROUGE evaluation of essays' summaries. In 2009 8th International Symposium on Natural Language Processing, SNLP '09|Int. Symp. Nat. Lang. Process., SNLP. (pp. 122-127). DOI: 10.1109/SNLP.2009.5340933. Publication link: a02d57d9-e5ab-4dd3-b152-b5d07d4c71e7
  338. Yang, H., Spasic, I., Keane, J. A., & Nenadic, G. (2009). A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries. Journal of the American Medical Informatics Association, 16(4), 596-600. DOI: 10.1197/jamia.M3096. Publication link: df75d334-0f3f-45bb-a7af-ccb95f1e9873
  339. Sarafraz, F., Eales, J., Mohammadi, R., Dickerson, J., Robertson, D., & Nenadic, G. (2009). Biomedical event detection using rules, conditional random fields and parse tree distances. In Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task. (pp. 115-118). Stroudsburg, PA, USA: Association for Computational Linguistics. DOI: 10.3115/1572340.1572359. Publication link: 04018138-4d01-48af-bec7-58ca9909f1c0
  340. Afzal, H., Stevens, R., & Nenadic, G. (2009). Mining semantic descriptions of bioinformatics web resources from the literature. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 5554, pp. 535-549). (Lecture Notes in Computer Science). Springer Verlag. DOI: 10.1007/978-3-642-02121-3_40. Publication link: 22efac89-f703-4f3d-b19f-6c37002e48c3
  341. Nenadic, G., & Afzal, H. (2008). Mining bioinformatics services terminology from literature. Poster session presented at MIB Interdisciplinary Research Conference, Manchester, .. Publication link: 67541270-9629-4f44-9df7-3b9f115977e9
  342. Yang, H., Nenadic, G., & Keane, J. A. (2008). Identification of transcription factor contexts in literature using machine learning approaches. In BMC Bioinformatics|BMC Bioinform.. (Vol. 9). BioMed Central. DOI: 10.1186/1471-2105-9-S3-S11. Publication link: 7607fa8a-e0e7-4dd9-a1f5-6032eef3b793
  343. Ananiadou, S., Monachini, M., Nenadic, G., & Su, J. (2008). Building and Evaluating Resources for Biomedical Text Mining. In host publication.. Publication link: 57ecad82-d6f7-4b26-ac63-9a5191ba105e
  344. Stivaros, S., Nenadic, G., Zeng, X., Keane, J., & Jackson, A. (2008). Decision support system for treatment planning and outcome prediction in aneurysmal subarachnoid haemorrhage. Poster session presented at Computer Assisted Radiology and Surgery 2008, Barcelona, .. Publication link: 5dd887c5-d2ef-48ee-97e3-1f7c0178f34f
  345. Stivaros, S., Nenadic, G., Zeng, X., Keane, J., & Jackson, A. (2008). Computational Treatment Prediction of Subarachnoid Haemorrhage. Poster session presented at British Society of Neuroradiologists (BSNR) 2008, Manchester, .. Publication link: 8f2f743c-d075-4572-ac63-1ec6a563963e
  346. Greenwood, M., & Nenadic, G. (2008). Lexical Profiling of Existing Web Directories to Support Fine-grained Topic-Focused Web Crawling. In host publication. (pp. 42-49). London, UK: BCS. . Publication link: 3fe98beb-f72f-49d1-bd1e-0f92c73ea6c9
  347. Yang, H., Spasic, I., Keane, J., & Nenadic, G. (2008). Combining Lexical Profiling, Rules and Machine Learning for Disease Prediction from Hospital Discharge Summaries. In Proc. of i2b2 Obesity Challenge 2008. (pp. online). Publication link: 0f437b46-e627-4c04-bc14-0dcaaa367695
  348. Nenadic, G., & Spasic, I. (2008). Towards Terminology Extraction in Serbian. In Formal Description of Slavic Languages: The Fifth Conference. Frankfurt am Main: Peter Lang. . Publication link: 116d2890-e171-4b20-a75c-1464b7b949a3
  349. Yang, H., Nenadic, G., & Keane, J. A. (2008). Identification of transcription factor contexts in literature using machine learning approaches. BMC Bioinformatics, 9(3), [S11]. DOI: 10.1186/1471-2105-9-S3-S11. Publication link: a68d5907-218c-40ae-abd4-a77a259f91d0
  350. Afzal, H., Stevens, R., & Nenadic, G. (2008). Towards semantic annotation of bioinformatics services: Building a controlled vocabulary. In 3rd International Symposium on Semantic Mining in Biomedicine, SMBM 2008 - Proceedings|Int. Symp. Semantic Min. Biomed., SMBM - Proc.. (pp. 5-12). Publication link: c82e7c71-d3cf-48e0-aec0-c31029c75009
  351. Rebholz-Schuhmann, D., & Nenadic, G. (2008). Towards standardisation of named-entity annotations in the life science literature. In 3rd International Symposium on Semantic Mining in Biomedicine, SMBM 2008 - Proceedings|Int. Symp. Semantic Min. Biomed., SMBM - Proc.. (pp. 167-169). Publication link: dae1def3-49e1-451f-be3d-4c484922669e
  352. Nenadic, G., Stivaros, S. M., Zeng, X., Keane, J., & Jackson, A. (2008). Development of a Language-based Bayesian Decision Support System for Treatment Planning and Outcome Prediction in Aneurysmal Subarachnoid Haemorrhage. Poster session presented at BSNR 2008, London, UK, .. Publication link: ff55d4f0-54e6-4cda-9e4a-a2330c280985
  353. Gao, X., Mu, T., Goulermas, J. Y., & Wang, M. (2017). Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognition. DOI: 10.1016/j.patcog.2017.02.035. Publication link: c3383370-d68f-4dcb-9fc4-732ec2e11251
  354. Hao, Y., Mu, T., Hong, R., Wang, M., An, N., & Goulermas, J. Y. (2017). Stochastic Multi-view Hashing for Large-scale Near-duplicate Video Retrieval. IEEE Ttransactions on Multimedia, 19(1). DOI: 10.1109/TMM.2016.2610324. Publication link: 93f0b0d8-bb53-4705-ac95-f8b2f5114603
  355. Wu, Y., Mu, T., Liatsis, P., & John, G. (2016). Computation of Heterogeneous Object Co-embeddings from Relational Measurements. Pattern Recognition. DOI: 10.1016/j.patcog.2016.12.004. Publication link: da6cbd47-c5c5-4151-8d87-ca82d5dec7b1
  356. Gao, X., Mu, T., & Wang, M. (2016). Local voting based multi-view embedding. Neurocomputing, 171, 901-909. DOI: 10.1016/j.neucom.2015.07.043. Publication link: ffc72ade-b026-41ae-9f13-cc33114ba5f9
  357. Goulermas, J. Y., Kostopoulos, A., & Mu, T. (2016). A New Measure for Analyzing and Fusing Sequences of Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(5), [833-848]. DOI: 10.1109/TPAMI.2015.2470671. Publication link: 6322e42e-63ce-4c1e-9139-444d3e7358cf
  358. Bollegala, D., Mu, T., & Goulermas, J. Y. (2015). Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(2), 398-410. DOI: 10.1109/TKDE.2015.2475761. Publication link: 4a66a6ad-246c-41ee-a162-c47d3b745ab0
  359. Mu, T., Miwa, M., Tsujii, J., & Ananiadou, S. (2014). Discovering robust embeddings in (Dis)similarity space for high-dimensional linguistic features. Computational Intelligence, 30(2), 285-315. DOI: 10.1111/j.1467-8640.2012.00452.x. Publication link: cf510b99-ae6f-4bc1-8909-f65e300bdad7
  360. Nikolaidis, K., Mu, T., & Goulermas, J. Y. (2014). Prototype reduction based on direct weighted pruning. Pattern Recognition Letters, 36, 22-28. DOI: 10.1016/j.patrec.2013.08.022. Publication link: 7eacbe27-e336-4bbd-b452-0824f505c8b8
  361. Rodriguez-Martinez, E., Mu, T., & Goulermas, J. Y. (2014). Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE transactions on cybernetics, 44(12), 2458-2469. DOI: 10.1109/TCYB.2014.2308908. Publication link: 45fd7c09-4da9-473e-8a33-901f2b5b9b14
  362. Mu, T., Goulermas, J. Y., Korkontzelos, I., & Ananiadou, S. (2014). Descriptive Document Clustering via Discriminant Learning in a Co-Embedded Space of Multilevel Similarities. Journal of the Association for Information Science and Technology, 67(1), 106-133. DOI: 10.1002/asi.23374. Publication link: 3ad0b785-d38f-4e5f-83fd-ee3d53deb920
  363. Rodriguez-Martinez, E., Mu, T., Jiang, J., & Goulermas, J. Y. (2013). Automated induction of heterogeneous proximity measures for supervised spectral embedding. IEEE Transactions on Neural Networks and Learning Systems, 24(10), 1575-1587. . Publication link: 8bfbc46f-61a2-4feb-ad76-c8181d70fee1
  364. Wang, Y., Jiang, J., & Mu, T. (2013). Context-aware and energy-driven route optimization for fully electric vehicles via crowdsourcing. IEEE Transactions on Intelligent Transportation Systems, 14(3), 1331-1345. . Publication link: 8e3911b3-4f66-4d81-ba5a-0bc953ec4b0f
  365. Mu, T., Jiang, J., & Wang, Y. (2013). Heterogeneous delay embedding for travel time and energy cost prediction via regression analysis. IEEE Transactions on Intelligent Transportation Systems, 14(1), 214-224. . Publication link: 85e74ca3-cb0f-43eb-ac67-69dc57e5b36e
  366. Mu, T., & Goulermas, J. Y. (2013). Automatic generation of co-embeddings from relational data with adaptive shaping. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(10), 2340-2356. . Publication link: ebed5b28-9062-410c-80a0-95f91e5a46a8
  367. Pataky, T. C., Mu, T., Bosch, K., Rosenbaum, D., & Goulermas, J. Y. (2012). Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals. Journal of The Royal Society Interface, 9(69), 790-800. . Publication link: 24ed1d9c-1ad3-4bd0-9e1e-1fb5c464016c
  368. Rodriguez, E., Nikolaidis, K., Mu, T., Ralph, J. F., & Goulermas, J. Y. (2012). Towards collaborative feature extraction for face recognition. Natural Computing, 11(3), 395-404. . Publication link: 4f049fa5-3412-464c-8994-c638ce8e452b
  369. Mu, T., Jiang, J., Wang, Y., & Goulermas, J. Y. (2012). Adaptive data embedding framework for multiclass classification. IEEE Transactions on Neural Networks and Learning Systems, 23(8), 1291-1303. . Publication link: 70d206a7-2cc4-424d-b172-5e8a3c281214
  370. Romero, E., Mu, T., & Lisboa, P. J. G. (2012). Cohort-based kernel visualisation with scatter matrices. Pattern Recognition, 45(4), 1436-1454. . Publication link: 7a2dc75e-f449-4f04-834d-f87ab393d622
  371. Korkontzelos, I., Mu, T., & Ananiadou, S. (2012). ASCOT: A text mining-based web-service for efficient search and assisted creation of clinical trials. BMC Medical Informatics and Decision Making, 12(1), [S3]. DOI: 10.1186/1472-6947-12-S1-S3. Publication link: c24c4fbd-b38f-4791-a8df-a7ac807110ab
  372. Mu, T., Goulermas, J. Y., Tsujii, J. I., & Ananiadou, S. (2012). Proximity-based frameworks for generating embeddings from multi-output data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(11), 2216-2232. [6127879]. DOI: 10.1109/TPAMI.2012.20. Publication link: d58279cf-7ce4-4e1e-a75b-e97cc168fece
  373. Pataky, T. C., Bosch, K., Mu, T., Keijsers, N. L. W., Segers, V., Rosenbaum, D., & Goulermas, J. Y. (2011). An anatomically unbiased foot template for inter-subject plantar pressure evaluation. Gait & Posture, 33(3), 418-422. . Publication link: 1b759459-c88b-46b5-97b9-e068e69d38d2
  374. Mu, T., Pataky, T. C., Findlow, A. H., Aung, M. S. H., & Goulermas, J. Y. (2010). Automated nonlinear feature generation and classification of foot pressure lesions. IEEE Transactions on Information Technology in Biomedicine, 14(2), 418-424. . Publication link: 7fa09867-feb2-4f90-9945-38371e3bdeec
  375. Ananiadou, S., Thompson, P., Thomas, J., Mu, T., Oliver, S., Rickinson, M., ... McNaught, J. (2010). Supporting the education evidence portal via text mining. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1925), 3829-3844. DOI: 10.1098/rsta.2010.0152. Publication link: 833b310c-a637-4957-a28d-a5bfbbfcae1a
  376. Rodriguez-Martinez, E., Goulermas, J. Y., Mu, T., & Ralph, J. F. (2010). Automatic induction of projection pursuit indices. IEEE Transactions on Neural Networks, 21(8), 1281-1295. . Publication link: 9f129bc0-b3ac-443c-94df-9f8b672d5cd3
  377. Mu, T., & Nandi, A. K. (2009). Multiclass classification based on extended support vector data description. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39(5), 1206-1216. . Publication link: 1bf622b8-2c3e-4b37-8070-d0360e325349
  378. Mu, T., & Nandi, A. K. (2009). Automatic tuning of L2-SVM parameters employing the extended Kalman filter. Expert Systems, 26(2), 160-175. . Publication link: c9d7f570-494f-45eb-b22b-60b2ced34355
  379. Mu, T., Nandi, A. K., & Rangayyan, R. M. (2008). Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm. Computers in Biology and Medicine, 38(10), 1103-1111. . Publication link: 8183c20b-1d3d-4b5f-811d-869164253672
  380. Mu, T., Nandi, A. K., & Rangayyan, R. M. (2008). Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers. Journal of Digital Imaging, 21(2), 153-169. . Publication link: 7ba861fc-d5df-42b7-8602-b40d1be5d015
  381. Batista-Navarro, R., Hammock, J., Ulate, W., & Ananiadou, S. (2016). A text mining framework for accelerating the semantic curation of literature. In Research and Advanced Technology for Digital Libraries - 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, Proceedings. (Vol. 9819, pp. 459-462). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9819). Springer-Verlag, London. DOI: 10.1007/978-3-319-43997-6_44. Publication link: c279c8a8-e87b-4cf0-b97f-61bd66d5a15f
  382. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2016). Argo: Enabling the development of bespoke workflows and services for disease annotation. Database: The Journal of Biological Databases and Curation. DOI: 10.1093/database/baw066. Publication link: f6f973f9-77c1-4089-af5d-1932ef468a09
  383. Batista-Navarro, R. T., Soto, A., Ulate, W., & Ananiadou, S. (2016). Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata. 471-473. Research and Advanced Technology for Digital Libraries - 20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, , .DOI: 10.1007/978-3-319-43997-6. Publication link: 89a366f5-4eb5-4434-9fad-d4e08e1f3988
  384. Wang, Q., Abdul, S. S., Almeida, L., Ananiadou, S., Balderas-Martínez, Y. I., Batista-Navarro, R., ... Arighi, C. N. (2016). Overview of the interactive task in BioCreative V. Database, 2016, [baw119]. DOI: 10.1093/database/baw119. Publication link: 199c0e58-4cf5-40fc-9827-ffea64f29029
  385. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2015). Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. (pp. 51-56). Seville, Spain. . Publication link: bf59c608-d8be-4cf9-bfc8-cbe0c881926a
  386. Batista-Navarro, R. T., & Ananiadou, S. (2015). Adapting ChER for the recognition of chemical mentions in patents. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. (pp. 149-153). Seville, Spain. . Publication link: b1983e8a-58cf-40b6-b536-d9a9cc4e4851
  387. Batista-Navarro, R. T., Carter, J., & Ananiadou, S. (2015). Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. (pp. 406-408). Seville, Spain. . Publication link: cd5f1641-f268-4bf0-b57e-d4ba558fc25a
  388. Batista-Navarro, R. T., & Ananiadou, S. (2015). Augmenting the Medical Subject Headings vocabulary with semantically rich variants to improve disease mention normalisation. In Proceedings of the Fifth BioCreative Challenge Evaluation Workshop. (pp. 311-316). Seville, Spain. . Publication link: cb6633d1-0c2c-446c-bf4c-880326e9dc1d
  389. Fu, X., Batista-Navarro, R. T., Rak, R., & Ananiadou, S. (2015). Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows. Journal of Biomedical Semantics, 6(8). DOI: 10.1186/s13326-015-0004-6. Publication link: 69394412-3296-438f-8fd7-8c0933e53755
  390. Mihaila, C., Batista-Navarro, R. T., Alnazzawi, N., Kontonatsios, G., Korkontzelos, I., Rak, R., ... Ananiadou, S. (2015). Mining the biomedical literature. In Healthcare Data Analytics. (pp. 251-308). CRC Press. . Publication link: 9128e5ac-2e04-4ebb-91ec-9599153ecf77
  391. Batista-Navarro, R., Rak, R., & Ananiadou, S. (2015). Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics. Journal of Cheminformatics, 7((Suppl 1): S6). DOI: 10.1186/1758-2946-7-S1-S6. Publication link: 1be8bd84-6a17-4df5-a952-b3ee1760ff48
  392. Batista-Navarro, R. T., Ulate, W., Hammock, J., Kontonatsios, G., Rose-Sandler, T., & Ananiadou, S. (2015). Unlocking knowledge in biodiversity legacy literature through automatic semantic metadata extraction. In Proceedings of the TDWG 2015 Annual Conference.. Publication link: 07e7da04-a24a-4718-b591-9206bdc0c1fe
  393. Batista-Navarro, R. T., Nawaz, R., Zerva, C., & Ananiadou, S. (2015). Bridging text-mined biomolecular events to pathway models using approximate subgraph matching techniques. In Proceedings of the 16th International Conference on Systems Biology, Singapore.. Publication link: 11067846-5932-4dbd-9792-7a91358036bb
  394. Alnazzawi, N., Thompson, P., Batista-Navarro, R. T., & Ananiadou, S. (2015). Using text mining techniques to extract phenotypic information from the PhenoCHF corpus. B M C Medical Informatics and Decision Making, 15(Suppl 2). DOI: 10.1186/1472-6947-15-S2-S3, 10.1186/1472-6947-15-S2-S3. Publication link: 433dafb1-91ec-4b66-bfbe-43d5ca1c0f8a
  395. Rak, R., Rowley, A., Carter, J., Batista-Navarro, R. T., & Ananiadou, S. (2014). Interoperability and Customisation of Annotation Schemata in Argo. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). (pp. 3837-3842). European Language Resources Association (ELRA). . Publication link: 1c05b0a7-2d50-49ec-9fae-212924bde20a
  396. Rak, R., Batista-Navarro, R. T., Carter, J., Rowley, A., & Ananiadou, S. (2014). Processing Biological Literature with Customisable Web Services Supporting Interoperable Formats. Database, 2014. DOI: 10.1093/database/bau064. Publication link: 78c3a693-1709-4974-9147-7cb82058d8d5
  397. Comeau, D. C., Batista-Navarro, R. T. H., Dai, H. J., Doğan, R. I. S., Yepes, A. J. I., Khare, R., ... Wilbur, W. J. (2014). BioC interoperability track overview. Database, 2014. DOI: 10.1093/database/bau053. Publication link: 706a5da0-ad31-4cd9-bc41-457c5f1afbac | PubMed:24980129
  398. Rak, R., Batista-Navarro, R. T., Rowley, A., Carter, J., & Ananiadou, S. (2014). Text Mining-assisted Biocuration Workflows in Argo. Database, 1–14. DOI: 10.1093/database/bau070, 10.1093/database/bau070. Publication link: b31a7913-4afc-4ddb-912c-1117b25f9a14
  399. Fu, X., Batista-Navarro, R. T., Rak, R., & Ananiadou, S. (2014). A Strategy for Annotating Clinical Records with Phenotypic Information relating to the Chronic Obstructive Pulmonary Disease. In Proceedings of the Phenotype day at ISMB 2014. (pp. 1-8). Publication link: c0485033-552f-43bb-bbcc-d45e69c86466
  400. Batista-Navarro, R. T., Islam, A., Ulate, W., Hammock, J., Soto, A., Ananiadou, S., & Milios, E. (2014). Enriching the legacy literature with OCR corrections and text-mined semantic metadata. In Proceedings of the TDWG 2014 Annual Conference.. Publication link: c0b2cdfe-1ff1-45ec-ac4f-8473bf2f00d8
  401. Batista-Navarro, R. T., Kontonatsios, G., Mihaila, C., Thompson, P., Nawaz, R., Korkontzelos, I., & Ananiadou, S. (2013). Supporting Discourse Phenomena in an Interoperable NLP Framework. In host publication.. Publication link: cd8dcfd4-6be7-41a3-a0b5-134362040738
  402. Mihaila, C., Kontonatsios, G., Batista-Navarro, R. T., Thompson, P., Korkontzelos, I., & Ananiadou, S. (2013). Towards a Better Understanding of Discourse: Integrating Multiple Discourse Annotation Perspectives Using UIMA. In Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse. (pp. 79-88). Publication link: 535590d0-7e51-482c-9963-5fad56c39def
  403. Batista-Navarro, R. T., Rak, R., & Ananiadou, S. (2013). Chemistry-specific Features and Heuristics for Developing a CRF-based Chemical Named Entity Recogniser. In Proceedings of the Fourth BioCreative Challenge Evaluation Workshop. (Vol. 2, pp. 55-59). Publication link: 87835651-2c0b-4dc3-a9b2-4057009a4cb9
  404. Rak, R., Batista-Navarro, R. T., Rowley, A., Carter, J., & Ananiadou, S. (2013). Customisable Curation Workflows in Argo. In Proceedings of the Fourth BioCreative Challenge Evaluation Workshop. (Vol. 1, pp. 270-278). Publication link: 12b1457a-63e5-46fc-9ede-15998bc17f4f
  405. Rak, R., Batista-Navarro, R. T., Rowley, A., Miwa, M., Carter, J., & Ananiadou, S. (2013). NaCTeM’s BioC Modules and Resources for BioCreative IV. In Proceedings of the Fourth BioCreative Challenge Evaluation Workshop. (Vol. 1, pp. 61-67). Publication link: 07d8ae4b-470b-43e9-8572-798c3f64f83c
  406. Mihaila, C., Kontonatsios, G., Thompson, P., Batista-Navarro, R. T., Mihaila, C., Korkontzelos, I., ... Hussain, S. (Ed.) (2013). Extending an interoperable platform to facilitate the creation of multilingual and multimodal NLP applications. In M. Butt, & S. Hussain (Eds.), Proceedings of the System Demonstration Session at The 51st Annual Meeting of the Association for Computational Linguistics. (pp. 43-48). Association for Computational Linguistics. . Publication link: 3d66b057-6d0e-452d-9adf-51d48c1997e9
  407. Batista-Navarro, R. T., Kontonatsios, G., Mihǎilǎ, C., Thompson, P., Rak, R., Nawaz, R., ... Ananiadou, S. (2013). Facilitating the analysis of discourse phenomena in an interoperable NLP platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. (Vol. 7816, pp. 559-571). (Lecture Notes in Computer Science). Berlin, Germany: Springer Berlin Heidelberg. DOI: 10.1007/978-3-642-37247-6_45. Publication link: 4a56f75f-ae30-4b93-88af-50cefd4a1169
  408. Batista-Navarro, R. T., Rak, R., & Ananiadou, S. (2013). NaCTeM CTD Web Services. In Proceedings of the Fourth BioCreative Challenge Evaluation Workshop. (Vol. 1, pp. 85-89). Publication link: 34d6062d-6f23-4a40-8232-250f68f2b745
  409. Mihaila, C., Batista-Navarro, R. T., & Ananiadou, S. (2012). Analysing Entity Type Variation across Biomedical Subdomains. In Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012). (pp. 1-7). Publication link: 878ac435-6710-4274-9e4a-98ba1ccdbc67
  410. Batista-Navarro, R. T., & Ananiadou, S. (2012). What's in a Name? Entity Type Variation across Two Biomedical Subdomains. In Proceedings of the Student Research Workshop at the 13th Conference of the European Chapter of the Association for Computational Linguistics. (pp. 38-45). Publication link: d49f1568-68e2-4858-9def-2c6190c402cd
  411. Wang, X., Rak, R., Restificar, A., Nobata, C., Rupp, C. J., Batista-Navarro, R. T. B., ... Ananiadou, S. (2011). Detecting experimental techniques and selecting relevant documents for protein-protein interactions from biomedical literature. BMC Bioinformatics, 12(8), [S11]. DOI: 10.1186/1471-2105-12-S8-S11. Publication link: 919e4258-3458-4108-939a-94ea5251902e
  412. Batista-Navarro, R. T., Cohen, K. (Ed.), Demner-Fushman, D. (Ed.), Ananiadou, S. (Ed.), Pestian, J. (Ed.), Tsujii, J. (Ed.), & Webber, B. (Ed.) (2011). Building a coreference-annotated corpus from the domain of biochemistry. In K. Cohen, D. Demner-Fushman, S. Ananiadou, J. Pestian, J. Tsujii, & B. Webber (Eds.), Proceedings of the 2011 Workshop on Biomedical Natural Language Processing, ACL-HLT 2011. (pp. 83-91). Association for Computational Linguistics. . Publication link: 5257013d-10a8-42cd-9335-177b797e6e0c
  413. Batista-Navarro, R. T., & Ananiadou, S. (2011). Adapting the Cluster Ranking Supervised Model to Resolve Coreferences in the Drug Literature. In Proceedings of the Fourth International Symposium on Languages in Biology and Medicine (LBM 2011). (pp. 71-77). Publication link: 5f00c3f7-71e2-498f-a1d5-6f5e796785f1
  414. Ananiadou, S., & Batista-Navarro, R. T. (2011). Discovering Potential Drugs by Extracting Biological Activities of Natural Products. In Workshop on Mining the Pharmacogenomics Literature, Pacific Symopsium on Biocomputing 2011.. Publication link: b402d53f-b5af-474e-8c7c-6841df2136f2
  415. Wang, X., Rak, R., Restificar, A., Nobata, C., Rupp, C. J., Batista-Navarro, R. T., ... Ananiadou, S. (2010). NaCTeM Systems for BioCreative III PPI Tasks. In Proceedings of the BioCreative III Workshop. (pp. 142-147). Publication link: ee085f53-f48a-49e0-a6e8-73e48197d597
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