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1
Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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2
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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3
Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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4
HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019
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5
Watset: Local-global graph clustering with applications in sense and frame induction
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6
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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7
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages ...
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8
Unsupervised semantic frame induction using triclustering
Panchenko, Alexander; Kutuzov, Andrei; Ponzetto, Simone Paolo; Ustalov, Dmitry; Biemann, Chris. - : Association for Computational Linguistics, 2018
Abstract: We use dependency triples automatically extracted from a Web-scale corpus to perform unsupervised semantic frame induction. We cast the frame induction problem as a triclustering problem that is a generalization of clustering for triadic data. Our replicable benchmarks demonstrate that the proposed graph-based approach, Triframes, shows state-of-the art results on this task on a FrameNet-derived dataset and performing on par with competitive methods on a verb class clustering task.
Keyword: 004 Informatik; 420 Englisch; 510 Mathematik
URL: https://madoc.bib.uni-mannheim.de/44572/1/ACL_2018_Triframes.pdf
https://madoc.bib.uni-mannheim.de/44572/
https://madoc.bib.uni-mannheim.de/44572
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9
An unsupervised word sense disambiguation system for under-resourced languages
Ustalov, Dmitry; Teslenko, Denis; Panchenko, Alexander. - : European Language Resources Association, ELRA-ELDA, 2018
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10
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation ...
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11
Unsupervised, knowledge-free, and interpretable word sense disambiguation
Faralli, Stefano; Panchenko, Alexander; Marten, Fide. - : Association for Computational Linguistics, 2017
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