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Spatial multi-arrangement for clustering and multi-way similarity dataset construction
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Abstract:
We present a novel methodology for fast bottom-up creation of large-scale semantic similarity resources to support development and evaluation of NLP systems. Our work targets verb similarity, but the methodology is equally applicable to other parts of speech. Our approach circumvents the bottleneck of slow and expensive manual development of lexical resources by leveraging semantic intuitions of native speakers and adapting a spatial multi-arrangement approach from cognitive neuroscience, used before only with visual stimuli, to lexical stimuli. Our approach critically obtains judgments of word similarity in the context of a set of related words, rather than of word pairs in isolation. We also handle lexical ambiguity as a natural consequence of a two-phase process where verbs are placed in broad semantic classes prior to the fine-grained spatial similarity judgments. Our proposed design produces a large-scale verb resource comprising 17 relatedness-based classes and a verb similarity dataset containing similarity scores for 29,721 unique verb pairs and 825 target verbs, which we release with this paper.
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URL: https://www.repository.cam.ac.uk/handle/1810/306834 https://doi.org/10.17863/CAM.53925
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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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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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