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Semantic Data Set Construction from Human Clustering and Spatial Arrangement ...
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Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets ...
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AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples ...
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Quantifying lexical usage: vocabulary pertaining to ecosystems and the environment
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Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
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Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis ...
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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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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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Word Sense Clustering and Clusterability
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838502 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2016, 42, pp.245-275. ⟨10.1162/COLI⟩ (2016)
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Integrating character representations into Chinese word embedding
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Semantic clustering of pivot paraphrases
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01838559 ; International Conference on Language Resources and Evaluation, Jan 2014, Reykjavik, Iceland (2014)
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Abstract:
International audience ; Paraphrases extracted from parallel corpora by the pivot method (Bannard and Callison-Burch, 2005) constitute a valuable resource for multilingual NLP applications. In this study, we analyse the semantics of unigram pivot paraphrases and use a graph-based sense induction approach to unveil hidden sense distinctions in the paraphrase sets. The comparison of the acquired senses to gold data from the Lexical Substitution shared task (McCarthy and Navigli, 2007) demonstrates that sense distinctions exist in the paraphrase sets and highlights the need for a disambiguation step in applications using this resource.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; parallel corpora; pivot paraphrasing; sense clustering
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URL: https://hal.archives-ouvertes.fr/hal-01838559
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Quantifying lexical usage: vocabulary pertaining to ecosystems and the environment
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Finding Meaning in Context Using Graph Algorithms in Mono- and Cross-lingual Settings
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