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Using linked disambiguated distributional networks for word sense disambiguation
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Mnogoznal : an unsupervised system for word sense disambiguation
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43 |
Watset : automatic induction of synsets from a graph of synonyms
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Abstract:
This paper presents a new graph-based approach that induces synsets using synonymy dictionaries and word embeddings. First, we build a weighted graph of synonyms extracted from commonly available resources, such as Wiktionary. Second, we apply word sense induction to deal with ambiguous words. Finally, we cluster the disambiguated version of the ambiguous input graph into synsets. Our meta-clustering approach lets us use an efficient hard clustering algorithm to perform a fuzzy clustering of the graph. Despite its simplicity, our approach shows excellent results, outperforming five competitive state-of-the-art methods in terms of F-score on three gold standard datasets for English and Russian derived from large-scale manually constructed lexical resources.
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Keyword:
004 Informatik
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URL: https://ub-madoc.bib.uni-mannheim.de/43324 https://madoc.bib.uni-mannheim.de/43324/ https://doi.org/10.18653/v1/P17-1145 https://madoc.bib.uni-mannheim.de/43324/1/P17-1145.pdf
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44 |
A tool for effective extraction of synsets and semantic relations from BabelNet
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45 |
Human and machine judgements for Russian semantic relatedness
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Human And Machine Judgements For Russian Semantic Relatedness ...
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TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
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