All publications 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 | 426-450 | 451-475 | 476-500 | 501-525 | 526-528 |
| and , Improving Textual Emotion Recognition Based on Intra- and Inter-Class Variation (2021), in: IEEE Transactions on Affective Computing |
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| , , and , The Role of Text Simplification Operations in Evaluation, in: Proceedings of the First Workshop on Current Trends in Text Simplification (CTTS-2021), pages 57-69, 2021 |
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| , and , Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., in: CLEF (Working Notes), 2021 |
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| , , and , Investigating Text Simplification Evaluation, in: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 876-882, 2021 |
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| , and , Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), pages 11-26, 2021 |
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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 , SpanEmo: Casting Multi-label Emotion Classification as Span-prediction, in: Proceedings 16th conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), pages 1573–1584, 2021 |
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| , , and , HSEarch: semantic search system for workplace accident reports, in: Proceedings of the 43rd European Confererence on Information Retrieval (ECIR 2021), pages 514-519, 2021 |
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| , , , , and , Women’s health in The BMJ: a data science history (2020), in: BMJ Open, 10(e039759) |
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| , , , , and , CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pages 6903–6915, 2020 |
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| , and , A Neural Model for Aggregating Coreference Annotation in Crowdsourcing, in: Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), pages 5760-5773, 2020 |
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| and , Compositional Phrase Alignment and Beyond, in: Proceedings of EMNLP 2020, pages 1611–1623, 2020 |
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| , and , Syntactically-Informed Word Representations from Graph Neural Network (2020), in: Neurocomputing, 413(431-443) |
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| , , , , and , DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts (2020), in: Bioinformatics(btaa540) |
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| , , and , Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics |
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| , and , Revisiting Unsupervised Relation Extraction, in: Proceedings of ACL 2020, pages 7498–7505, 2020 |
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| , , and , Semantic Annotation for Improved Safety in Construction Work, in: Proceedings of LREC 2020, pages 1983‑1992, 2020 |
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| , , , , , and , The pace of modern culture (2020), in: Nature Human Behaviour |
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| , , , , , and , On revolutions (2020), in: Palgrave Communications, 6(4) |
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| , , and , Improving reference prioritisation with PICO recognition (2019), in: BMC Medical Informatics and Decision Making, 19(256) |
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| , , , , and , Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering, in: Proceedings of the 5th Workshop on BioNLP Open Shared Tasks, pages 196-205, 2019 |
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| , , , , , and , Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries (2019), in: BMC Bioinformatics, 20(430) |
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| , and , A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection, in: Proceedings of EMNLP 2019, pages 3670-3677, 2019 |
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| , and , Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs, in: Proceedings of EMNLP 2019, pages 4927-4938, 2019 |
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| and , Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning, in: Proceedings of BioNLP, pages 339-347, 2019 |
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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 | 526-528 |