All publications sorted by journal and type
| 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 | 551-569 |
Publications of type Inproceedings
2019
| , , and , Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network, in: Proceedings of ACL 2019, pages 4309-4316, 2019 |
[URL] |
| , , and , Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks, in: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 2873-2883, 2019 |
[URL] |
2018
| , and , A Neural Layered Model for Nested Named Entity Recognition, in: Proceedings of NAACL 2018, pages 1446-1459, 2018 |
[URL] |
| , , , , , , and , A New Corpus to Support Text Mining for the Curation of Metabolites in the ChEBI Database, in: Proceedings of LREC 2018, pages 280-285, 2018 |
[URL] |
| , and , A Walk-based Model on Entity Graphs for Relation Extraction, in: Proceedings of ACL, pages 81-88, 2018 |
[URL] |
| 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 |
[URL] |
| , , , , , , , , , and , Are all flavonoids safe for use in Cosmetics?, in: Proceedings of the 30th IFSCC Congress, pages Poster S2-296, 2018 |
| , and , Improve Chinese Clinical Named Entity Recognition Performance by Using the Graphical and Phonetic Feature, in: Proceedings of the 2018 International Workshop on Biomedical and Health Informatics, 2018 |
[URL] |
| , , and , Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts, in: Proceedings of the BioNLP 2018 workshop, pages 183-188, 2018 |
[URL] |
| and , Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pages 6-20, 2018 |
[URL] |
2017
| , , , , , and , Distributed Document and Phrase Co-embeddings for Descriptive Clustering, in: Proceedings of EACL, pages 991-1001, 2017 |
[URL] |
| and , Extracting Gene-Disease Relations from Text to Support Biomarker Discovery, in: Proceedings of the 7th International conference on Digital Health, pages 180-189, 2017 |
[DOI] [URL] |
| , and , Identifying Personalised Treatments and Clinical Trials for Precision Medicine using Semantic Search with Thalia, in: Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2017), National Insitute of Standards and Technology, 2017 |
[URL] |
| and , Monolingual Phrase Alignment on Parse Forests, in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 1-11, 2017 |
[URL] |
| , and , Proactive Learning for Named Entity Recognition, in: Proceedings of BioNLP 2017, pages 117--125, Association for Computational Linguistics, 2017 |
[URL] |
| , , and , Supporting biomarker discovery using text mining, in: Proceedings of Informatics for Health 2017, 2017 |
[URL] |
2016
| , , 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 |
[URL] |
| , 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 |
[URL] |
| , and , 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 |
| , , , , and , Facilitating and promoting web annotation with Argo, in: Proceedings of I Annotate 2016, 2016 |
| , and , Identifying content types of messages related to Open Source Software projects, in: Proceedings of LREC 2016, pages 1837-1844, 2016 |
[URL] |
| , 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 |
[URL] |
| , , , 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 |
[URL] |
| , , 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 |
[URL] |
| 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 | 551-569 |