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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 2 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 3 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine ... Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 4 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. Majewska, Olga; Collins, Charlotte; Baker, Simon... In: nlmid: 101531992 ; essn: 2041-1480 (2021) BASE Show details 5 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine. Majewska, Olga; Collins, Charlotte; Baker, Simon. - : Springer Science and Business Media LLC, 2021. : J Biomed Semantics, 2021 BASE Show details 6 BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine Majewska, Olga; Collins, Charlotte; Baker, Simon. - : BioMed Central, 2021. : Journal of Biomedical Semantics, 2021 BASE Show details 7 Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity Vulic, Ivan; Baker, Simon; Ponti, Edoardo Maria... In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02975786 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2020, 46 (4), pp.847-897 ; https://direct.mit.edu/coli/article/46/4/847/97326/Multi-SimLex-A-Large-Scale-Evaluation-of (2020) BASE Show details 8 Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ... Vulić, Ivan; Baker, Simon; Ponti, Edoardo Maria. - : arXiv, 2020 BASE Show details 9 Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ... Vulic, Ivan; Baker, Simon; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2020 BASE Show details 10 Word embeddings for biomedical natural language processing: A survey Chiu, B; Baker, Simon. - : Wiley, 2020. : Language and Linguistics Compass, 2020 BASE Show details 11 A systematic literature review of automatic Alzheimer’s disease detection from speech and language Petti, Ulla; Baker, Simon; Korhonen, Anna In: J Am Med Inform Assoc (2020) BASE Show details 12 Enhancing biomedical word embeddings by retrofitting to verb clusters ... Chiu, B; Baker, Simon; Palmer, M. - : Apollo - University of Cambridge Repository, 2019 BASE Show details 13 Enhancing biomedical word embeddings by retrofitting to verb clusters Chiu, B; Baker, Simon; Palmer, M; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2019. : https://www.aclweb.org/anthology/W19-50, 2019. : BioNLP 2019 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 18th BioNLP Workshop and Shared Task, 2019 Abstract: Verbs play a fundamental role in many biomedical tasks and applications such as relation and event extraction. We hypothesize that performance on many downstream tasks can be improved by aligning the input pretrained embeddings according to semantic verb classes. In this work, we show that by using semantic clusters for verbs, a large lexicon of verb classes derived from biomedical literature, we are able to improve the performance of common pretrained embeddings in downstream tasks by retrofitting them to verb classes. We present a simple and computationally efficient approach using a widely available “off-theshelf” retrofitting algorithm to align pretrained embeddings according to semantic verb clusters. We achieve state-of-the-art results on text classification and relation extraction tasks. URL: https://www.repository.cam.ac.uk/handle/1810/295397 https://doi.org/10.17863/CAM.42452 BASE Hide details 14 Variable typing: Assigning meaning to variables in mathematical text Stathopoulos, YA; Baker, Simon; Rei, Marek. - : Association for Computational Linguistics, 2018. : https://aclanthology.org/volumes/N18-1/, 2018. : NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2018 BASE Show details 15 Initializing neural networks for hierarchical multi-label text classification Baker, Simon; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : BioNLP 2017 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 16th BioNLP Workshop, 2017 BASE Show details 16 Semantic and associative priming in schizophrenia: behavioural and electrophysiological (N400) differences Baker, Simon T. E.; Batty, Rachel A.; Rossell, Susan L.... In: 3rd Biennial Schizophrenia International Research Conference (SIRS), Florence, Italy, 14-18 April 2012 (2012) BASE Show details 17 Redesigning teaching presence in order to enhance cognitive presence: a longitudinal analysis Rienties, Bart; Giesbers, Bas; Tempelaar, Dirk. - : Information Science Reference (an imprint of IGI Global), 2012 BASE Show details

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