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Publications of Ananiadou, S. sorted by recency
| 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 | 426-429 |
| , , , and , Text Mining for Semantic Search in Europe PubMed Central Labs, in: Working with Text: Tools, Techniques and Approaches for Text Mining, pages 111-132, Elsevier, 2016 |
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| , , , , , and , Distributed Document and Phrase Co-embeddings for Descriptive Clustering, in: Proceedings of EACL, pages 991-1001, 2017 |
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| , , , , , , , , and , SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data [version 2; referees: 2 approved, 1 approved with reservations]. (2017), in: Wellcome Open Res, 1:25 |
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| , and , 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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| , , , , , , and , Text Mining Resources for the Life Sciences (2016), in: Database: The Journal of Biological Databases and Curation(baw145) |
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| , and , 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), pages 22-25, 2016 |
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| , , and , Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), pages 471–473, Springer, 2016 |
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| , , , , , , and , Using text mining to facilitate study identification in public health systematic reviews (2016), in: Guidelines International Network (G-I-N) conference |
| , , , , and , Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts (2016), in: Journal of Biomedical Informatics, 62(148-158) |
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| , , and , Topic Detection Using Paragraph Vectors to Support Active Learning in Systematic Reviews (2016), in: Journal of Biomedical Informatics, 62(59–65) |
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| , , and , 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), pages 459-462, Springer, 2016 |
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| , , , and , 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 (SemEval 2016), pages 614-620, 2016 |
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| , , , , and , Facilitating and promoting web annotation with Argo, in: Proceedings of I Annotate 2016, 2016 |
| , and , 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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| , , and , Enriching News Events with Meta-knowledge Information (2016), in: Language Resources and Evaluation, 51:2(409-438) |
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| , , and , Ensemble Classification of Grants using LDA-based features (2016), in: Proceedings of LREC 2016(1288-1294) |
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| , and , Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, pages 1837-1844, 2016 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , The strategic impact of META-NET on the regional, national and international level (2016), in: Language Resources and Evaluation, 50:2(351-374) |
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| , , , , , , , and , Text Mining the History of Medicine (2016), in: PLOS One, 11:1(e0144717) |
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| Entités Nommées, ATALA, Traitement Automatique des Langues, volume 54, 2013 |
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| , , , , , and , Enriching the legacy literature with OCR corrections and text-mined semantic metadata, in: Proceedings of the TDWG 2014 Annual Conference, 2014 |
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| , and , Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 403-408, 2015 |
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| and , Augmenting the Medical Subject Headings vocabulary with semantically rich variants to improve disease mention normalisation, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 311-316, 2015 |
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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 | 426-429 |
