Alle Publikationen
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-565 |

2017
Arase, Y. und Tsujii, J., Monolingual Phrase Alignment on Parse Forests, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Seiten 1-11, 2017
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Li, M., Nguyen, N. T. H. und Ananiadou, S., Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, Seiten 117--125, Association for Computational Linguistics, 2017
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Brockmeier, A. J., Mu, T., Ananiadou, S. und Goulermas, J. Y, Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61)
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Ananiadou, S. und Thompson, P., Supporting Biological Pathway Curation Through Text Mining, in: Data Analytics and Management in Data Intensive Domains, Seiten 59-73, Springer, 2017
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Thompson, P., Boylan, K., Freemont, A. und Ananiadou, S., Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017
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Thompson, P., Ananiadou, S. und Tsujii, J., The GENIA Corpus: Annotation Levels and Applications, in: Handbook of Linguistic Annotation, Seiten 1395-1432, Springer, 2017
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2016
Batista-Navarro, R., Hammock, J., Ulate, W. und Ananiadou, S., A Text Mining Framework for Accelerating the Semantic Curation of Literature, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), Seiten 459-462, Springer, 2016
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Batista-Navarro, R., Carter, J. und Ananiadou, S., Argo: Enabling the development of bespoke workflows and services for disease annotation (2016), in: Database: The Journal of Biological Databases and Curation, 2016
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Batista-Navarro, R., Zerva, C. und Ananiadou, S., Construction of a biodiversity knowledge repository using a text mining-based framework, in: Proceedings of the 3rd Annual International Symposium on Information Management and Big Data (SIMBig 2016), Seiten 22-25, 2016
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Lapitan, F., Batista-Navarro, R. und Albacea, E., Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets, in: Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP 2016), 2016
Mu, T., Goulermas, J. Y, Korkontzelos, I. und Ananiadou, S., Descriptive Clustering via Discriminant Learning in a Coembedded Space of Multi-level Similarities (2016), in: Journal of the Association for Information Science and Technology, 67:1(106-133)
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Thompson, P., Nawaz, R., McNaught, J. und Ananiadou, S., Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438)
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Espinosa, K., Batista-Navarro, R. und Ananiadou, S., Learning to recognise named entities in Tweets by exploiting weakly labelled data, in: Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), 2016
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Black, W.J., Rowley, A., Miwa, M., McNaught, J. und Ananiadou, S., Text Mining for Semantic Search in Europe PubMed Central Labs, in: Working with Text: Tools, Techniques and Approaches for Text Mining, Seiten 111-132, Elsevier, 2016
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Przybyɫa, P., Shardlow, M., Aubin, S., Bossy, R., {Eckart de Castilho}, R., Piperidis, S., McNaught, J. und Ananiadou, S., Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145)
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-565 |