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Spatial multi-arrangement for clustering and multi-way similarity dataset construction
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Majewska, Olga; McCarthy, D; van den Bosch, J. - : European Language Resources Association, 2020. : LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, 2020
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Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis
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Majewska, Olga; Vulic, Ivan; McCarthy, Diana. - : International Committee on Computational Linguistics, 2020. : https://www.aclweb.org/anthology/2020.coling-main.423, 2020. : Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), 2020
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
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Common sense or world knowledge? Investigating adapter-based knowledge injection into pretrained transformers
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XCOPA: A multilingual dataset for causal commonsense reasoning
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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A neural classification method for supporting the creation of BioVerbNet ...
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A Neural Classification Method for Supporting the Creation of BioVerbNet ...
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Abstract:
Background: VerbNet, an extensive computational verb lexicon for English, has proved useful for supporting a wide range of Natural Language Processing tasks requiring information about the behaviour and meaning of verbs. Biomedical text processing and mining could benefit from a similar resource. We take the first step towards the development of BioVerbNet: A VerbNet specifically aimed at describing verbs in the area of biomedicine. Because VerbNet-style classification is extremely time consuming, we start from a small manual classification of biomedical verbs and apply a state-of-the-art neural representation model, specifically developed for class-based optimization, to expand the classification with new verbs, using all the PubMed abstracts and the full articles in the PubMed Central Open Access subset as data. Results: Direct evaluation of the resulting classification against BioSimVerb (verb similarity judgement data in biomedicine) shows promising results when representation learning is performed using ... : This work is supported by the Medical Research Council [grant number MR/M013049/1], the ERC Consolidator Grant LEXICAL [grant number 648909], the ESRC Doctoral Fellowship [grant number ES/J500033/1] and the Defense Advanced Research Projects Agency [DARPA 15-18-CwC-FP-032] ...
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Keyword:
representation learning; verb lexicon
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URL: https://www.repository.cam.ac.uk/handle/1810/289364 https://dx.doi.org/10.17863/cam.36611
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A Neural Classification Method for Supporting the Creation of BioVerbNet
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A neural classification method for supporting the creation of BioVerbNet
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Acquiring verb classes through bottom-up semantic verb clustering ...
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Investigating the cross-lingual translatability of VerbNet-style classification. ...
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Investigating the cross-lingual translatability of VerbNet-style classification.
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Acquiring verb classes through bottom-up semantic verb clustering
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