Keywords:
Publications of Ananiadou, S. sorted by first author
| 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 | 401-407 |
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| , and , Meta-Knowledge Annotation at the Event Level: Comparison between Abstracts and Full Papers, in: Proceedings of the Third Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2012), pages 24-31, 2012 |
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| , and , Evaluating a meta-knowledge annotation scheme for bio-events, in: Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, pages 69--77, 2010 |
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| , and , Event Interpretation: A Step towards Event-Centred Text Mining, in: Proceedings of the 1st Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts (AMICUS) workshop, 2010 |
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| , , and , Meta-Knowledge Annotation of Bio-Events, in: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010), pages 2498--2505, 2010 |
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| and , Mining Semantically Related Terms from Biomedical Literature (2006), in: ACM Transactions on Asian Language Information Processing (TALIP), 5:1(22--43) |
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| , and , Enhancing automatic term recognition through recognition of variation, in: Proceedings of COLING 2004, pages 604--610, Association for Computational Linguistics, 2004 |
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| , and , Automatic Discovery of Term Similarities Using Pattern Mining (2004), in: International Journal of Terminology, 10:1(55-80) |
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| , and , Mining Biomedical Abstracts: What’s in a Term?, in: Natural Language Processing – IJCNLP 2004, Springer-Verlag, 2005 |
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| and , APLenty: annotation tool for creating high-quality datasets using active and proactive learning, in: Proceedings of Empirical Methods in Natural Language Processing (System Demonstrations), 2018 |
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| , and , Paladin: an annotation tool based on active and proactive learning, in: Proceedings of the 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021): System Demonstrations, pages 238–243, 2021 |
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| , , and , Text Classification and Prediction in the Legal Domain, pages 4717-4722, 2022 |
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| , and , COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature (2019), in: Biodiversity Data Journal, 7(e29626) |
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| , and , Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, pages 1984–1996, 2023 |
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| , , , and , Constructing a Biodiversity Terminological Inventory (2017), in: PLOS ONE, 12:4(e0175277) |
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| , , , , , , and , Kleio: a knowledge-enriched information retrieval system for biology, in: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Singapore, Singapore, pages 787--788, ACM, 2008 |
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| , , , , , and , Mining Metabolites: Extracting the Yeast Metabolome from the Literature (2011), in: Metabolomics, 7:1(94-101) |
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| , , , , and , Semantic Search on Digital Document Repositories based on Text Mining Results, in: International Conferences on Digital Libraries and the Semantic Web 2009 (ICSD2009), pages 34--48, 2009 |
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| , , , and , Using text mining for study identification in systematic reviews: A systematic review of current approaches (2015), in: Systematic Reviews, 4:1 |
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| and , Examining and mitigating gender bias in text emotion detection task (2022), in: Neurocomputing, 493(422-434) |
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| , , and , Pathway Curation Support as an Information Extraction Task, in: Proceedings of the Fourth International Symposium on Languages in Biology and Medicine (LBM 2011), 2011 |
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| , , , , , , and , Overview of the Pathway Curation (PC) task of BioNLP Shared Task 2013, in: Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, Bulgaria, pages 67-75, Association for Computational Linguistics, 2013 |
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| , , and , Open-domain Anatomical Entity Mention Detection, in: Proceedings of the ACL Workshop on Detecting Stucture in Scholarly Discourse (DSSD), pages 27-36, 2012 |
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| and , Clustering Acronyms in Biomedical Text for Disambiguation, in: Proceedings of Fifth International conference on Language Resources and Evaluation (LREC 2006), pages 959-962, 2006 |
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| and , Building an Abbreviation Dictionary using a Term Recognition Approach (2006), in: Bioinformatics, 22:24(3089-3095) |
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| , and , Building a High Quality Sense Inventory for Improved Abbreviation Disambiguation (2010), in: Bioinformatics, 26:9(1246-1253) |
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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 | 401-407 |