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All publications sorted by author
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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 , Self-Tuned Descriptive Document Clustering using a Predictive Network (2018), in: Transactions on Knowledge and Data Engineering |
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| , , and , Quantifying the Informativeness of Similarity Measurements (2017), in: Journal of Machine Learning Research, 18(1-61) |
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| and , GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction, in: Findings of EMNLP, pages 2119–2126, 2021 |
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| , , and , Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, pages 26–36, 2023 |
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| , , , and , A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge (2023), in: IEEE Journal of Biomedical and Health Informatics, 27:2(1096 - 1105) |
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| , , , and , EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from Literature, in: Proceedings of IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), pages 461-467, 2021 |
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| , , , , and , A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers, in: Proceedings of ACL-IJCNLP Short Papers, pages 29--32, 2009 |
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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 , 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 , A Walk-based Model on Entity Graphs for Relation Extraction, in: Proceedings of ACL, pages 81-88, 2018 |
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| , , , and , Adverse Drug Events and Medication Relation Extraction in EHRs with Ensemble Deep Learning Methods (2019), in: Journal of the American Medical Informatics Association(ocz101) |
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| , , and , Building Patterns for Biomedical Event Extraction, in: Proceedings of the 15th International conference on Genome Informatics (GIW), pages 163--164, 2004 |
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| , , , , , and , Extraction of Gene-Disease Relations from MedLine using Domain Dictionaries and Machine Learning, in: Proceedings of the Pacific Symposium on Biocomputing (PSB) 11, pages 4-15, 2006 |
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| , , , , , and , Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts, in: Proceedings of the Second International Symposium on Semantic Mining in Biomedicine, pages 5-12, 2006 |
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| , , , , , , , , , , , , , , , , and , BioC interoperability track overview (2014), in: Database: The Journal of Biological Databases and Curation, 2014 |
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D
| , and , GENA: A knowledge graph for nutrition and mental health (2023), in: Journal of Biomedical Informatics, 145(10446) |
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| , , , , , and , Next Big Challenges in Core AI Technology, pages 90-115, Springer, 2021 |
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| , , , , , , , and , Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2023), in: International Journal of Information Management(102725) |
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E
| , , , , 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 , 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 , Comparing neural models for nested and overlapping biomedical event detection (2022), in: BMC Bioinformatics, 23(211) |
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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 , C-value for Authorship Identification, in: Proceedings of the 8th Conference on Forensic Linguistics, Language and Law, International Association of Forensic Linguistics, 2007 |
| 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 |