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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 – 6 of 6 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. - : Springer Science and Business Media LLC, 2021. : J Biomed Semantics, 2021 BASE Show details 3 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 4 Enhancing biomedical word embeddings by retrofitting to verb clusters ... Chiu, B; Baker, Simon; Palmer, M; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 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://dx.doi.org/10.17863/cam.42452 https://www.repository.cam.ac.uk/handle/1810/295397 BASE Hide details 5 Enhancing biomedical word embeddings by retrofitting to verb clusters Chiu, B; Baker, Simon; Palmer, M. - : 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 BASE Show details 6 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

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