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Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/22376
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dc.contributor.authorTrong Vu, Hoa-
dc.contributor.authorPham, Thuong-Hai-
dc.contributor.authorBai, Xiaoyu-
dc.contributor.authorTanti, Marc-
dc.contributor.authorvan der Plas, Lonneke-
dc.contributor.authorGatt, Albert-
dc.date.accessioned2017-10-07T17:50:29Z-
dc.date.available2017-10-07T17:50:29Z-
dc.date.issued2017-
dc.identifier.citationTrong Vu, H., Pham, T-H., Bai, X., Tanti, M., Van der Plas, L., & Gatt, A. (2017). LCT-MALTA's submission to RepEval 2017 shared Task. 2nd Workshop on Evaluating Vector Space Representations for NLP, Copenhagen. 56-60.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/22376-
dc.description.abstractWe present in this paper our team LCTMALTA’s submission to the RepEval 2017 Shared Task on natural language inference. Our system is a simple system based on a standard BiLSTM architecture, using as input GloVe word embeddings augmented with further linguistic information. We use max pooling on the BiLSTM outputs to obtain embeddings for sentences. On both the matched and the mismatched test sets, our system clearly beats the shared task’s BiLSTM baseline model.en_GB
dc.language.isoenen_GB
dc.publisherAssociation for Computational Linguisticsen_GB
dc.rightsinfo:eu-repo/semantics/openAccessen_GB
dc.subjectReference (Linguistics)en_GB
dc.subjectNatural language processing (Computer science)en_GB
dc.subjectCorpora (Linguistics)en_GB
dc.subjectLinguistic analysis (Linguistics)en_GB
dc.titleLCT-MALTAs submission to RepEval 2017 shared tasken_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename2nd Workshop on Evaluating Vector Space Representations for NLPen_GB
dc.bibliographicCitation.conferenceplaceCopenhagen, Denmark, 7-11/09/2017en_GB
dc.description.reviewedpeer-revieweden_GB
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