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Hits 1 – 17 of 17

1
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning ...
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2
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation ...
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3
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning ...
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4
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics ...
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5
Making Sense of Word Embeddings ...
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6
Watset: Automatic Induction of Synsets from a Graph of Synonyms ...
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7
Human and Machine Judgements for Russian Semantic Relatedness ...
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8
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl ...
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9
Unsupervised does not mean uninterpretable : the case for word sense induction and disambiguation
Biemann, Chris; Ponzetto, Simone Paolo; Ruppert, Eugen. - : Association for Computational Linguistics, 2017
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10
Unsupervised, knowledge-free, and interpretable word sense disambiguation
Faralli, Stefano; Panchenko, Alexander; Marten, Fide. - : Association for Computational Linguistics, 2017
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11
The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links
Faralli, Stefano; Panchenko, Alexander; Biemann, Chris. - : Association for Computational Linguistics, 2017
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12
Negative sampling improves hypernymy extraction based on projection learning
Panchenko, Alexander; Arefyev, Nikolay; Ustalov, Dmitry. - : Association for Computational Linguistics, 2017
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13
Using linked disambiguated distributional networks for word sense disambiguation
Panchenko, Alexander; Faralli, Stefano; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2017
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14
Mnogoznal : an unsupervised system for word sense disambiguation
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15
Watset : automatic induction of synsets from a graph of synonyms
Ustalov, Dmitry; Panchenko, Alexander; Biemann, Chris. - : Association for Computational Linguistics, 2017
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16
A tool for effective extraction of synsets and semantic relations from BabelNet
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17
Human and machine judgements for Russian semantic relatedness
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