Publications

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2014

  1. 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
  2. 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
  3. 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
  4. Kontonatsios, G., Mihaila, C., Korkontzelos, I., Thompson, P., & Ananiadou, S. (2014). A hybrid approach to compiling bilingual dictionaries of medical terms from parallel corpora. In Statistical Language and Speech Processing. (pp. 57-69). Springer Verlag. . Publication link: 522b399f-8fd2-48c9-b959-10b9eb1e6209
  5. Mihaila, C., Mihăilă, C., & Ananiadou, S. (2014). Semi-supervised learning of causal relations in biomedical scientific discourse. BioMedical Engineering OnLine, 13(Suppl 2). DOI: 10.1186/1475-925X-13-S2-S1. Publication link: 62cdb675-0b04-4405-b9e0-accbd8fa4d19
  6. Kontonatsios, G., Mih{\u{a}}il{\u{a}}, C., Korkontzelos, I., Thompson, P., & Ananiadou, S. (2014). A hybrid approach to compiling bilingual dictionaries of medical terms from parallel corpora. In Statistical Language and Speech Processing, Second International Conference, SLSP 2014. (Vol. 8791, pp. 57-69). (LNCS/LNAI). Springer Verlag. DOI: 10.1007/978-3-319-11397-5_4. Publication link: 73dfc047-60b4-4586-8697-e717e4eb9fef
  7. Mihaila, C., & Ananiadou, S. (2014). The Meta-knowledge of Causality in Biomedical Scientific Discourse. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). (pp. 1984-1991). European Language Resources Association (ELRA). . Publication link: 72285c8e-3da6-48e2-9d3c-9de3cc788d96
  8. 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
  9. Stenetorp, P., Pyysalo, S., Ananiadou, S., & Tsujii, J. (2014). Generalising semantic category disambiguation with large lexical resources for fun and profit. Journal of Biomedical Semantics, 5. DOI: 10.1186/2041-1480-5-26. Publication link: 412f4138-eb18-4fe3-9f57-b3f64635ebba
  10. 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
  11. Kontonatsios, G., Korkontzelos, I., Tsujii, J., & Ananiadou, S. (2014). Combining String and Context Similarity for Bilingual Term Alignment from Comparable Corpora. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). (pp. 1701-1712). Association for Computational Linguistics. . Publication link: 2ba990e2-ce90-4889-8f0c-4a24ea352421
  12. Pyysalo, S., & Ananiadou, S. (2014). Anatomical Entity Mention Recognition at Literature Scale. Bioinformatics, 30(6), 868-875. DOI: 10.1093/bioinformatics/btt580. Publication link: 07b835e3-6fc4-4c5a-bd67-731d998e71b5
  13. Xu, Y., Hua, J., Ni, Z., Chen, Q., Fan, Y., Ananiadou, S., ... Tsujii, J. (2014). Anatomical entity recognition with a hierarchical framework augmented by external resource. P L o S One, 9(10), [e108396]. DOI: 10.1371/journal.pone.0108396. Publication link: 2056dcf6-f340-4716-91f7-f30242d8e5bd
  14. 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
  15. 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
  16. 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
  17. Kontonatsios, G., Korkontzelos, I., Tsujii, J., & Ananiadou, S. (2014). Using a Random Forest Classifier to Compile Bilingual Dictionaries of Technical Terms from Comparable Corpora. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers. (pp. 111-116). Association for Computational Linguistics. . Publication link: cee26dd0-0971-4cbc-a6e9-26b388c71a8a
  18. 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
  19. Korkontzelos, I., & Ananiadou, S. (2014). Term Extraction. Oxford Handbook of Computational Linguistics (2nd Ed.). DOI: 10.1093/oxfordhb/9780199573691.013.004. Publication link: e900563d-0b15-46e8-9a17-0ea0e582b99b
  20. Miwa, M., Thomas, J., O'Mara-Eves, A., & Ananiadou, S. (2014). Reducing systematic review workload through certainty-based screening. Journal of Biomedical Informatics, 51, 242-253. DOI: 10.1016/j.jbi.2014.06.005. Publication link: a48c4eab-830c-4751-8dca-9bda434e8c72
  21. 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
  22. Alnazzawi, N., Thompson, P., & Ananiadou, S. (2014). Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature. In Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi). (pp. 69-74). Association for Computational Linguistics. . Publication link: c2bbd9bf-79b8-47db-8927-ef3cd5f5bece
  23. Fu, X., & Ananiadou, S. (2014). Improving the Extraction of Clinical Concepts from Clinical Records. In Proceedings of the 4th Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing. Reykjavik, Iceland: European Language Resources Association (ELRA). . Publication link: c4bab38f-7c87-4899-a50b-ee68aa64cd8a
  24. 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
  25. Korkontzelos, I., & Ananiadou, S. (2014). Locating Requests among Open Source Software Communication Messages. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). (pp. 1347-1354). European Language Resources Association (ELRA). . Publication link: c172d176-0ca8-4f93-8793-d32253aea7d4
  26. 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
  27. Miwa, M., Thompson, P., Korkontzelos, I., & Ananiadou, S. (2014). Comparable Study of Event Extraction in Newswire and Biomedical Domains. In Proceedings of Coling 2014. (pp. 2270-2279). Publication link: b9981dbf-c8b5-4e29-8a9e-40b5d0fb7080
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
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