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Unsupervised does not mean uninterpretable : the case for word sense induction and disambiguation
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Unsupervised, knowledge-free, and interpretable word sense disambiguation
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The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links
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Negative sampling improves hypernymy extraction based on projection learning
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Using linked disambiguated distributional networks for word sense disambiguation
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Watset : automatic induction of synsets from a graph of synonyms
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Human and machine judgements for Russian semantic relatedness
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Towards a resource based on users' knowledge to overcome the Tip-of-the-Tongue problem.
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In: Proceedings of CogALex (Cognitive Aspects of the Lexicon), COLING Workshop ; https://hal.archives-ouvertes.fr/hal-01480395 ; Proceedings of CogALex (Cognitive Aspects of the Lexicon), COLING Workshop, 2016, Osaka, Japan. pp.57-68 (2016)
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Learning Paraphrasing for Multi-word Expressions
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In: MWE 2016 - Multiword Expression Workshop 2016 ; https://hal.inria.fr/hal-01426749 ; MWE 2016 - Multiword Expression Workshop 2016, Aug 2016, Berlin, Germany (2016)
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An adaptive annotation approach for biomedical entity and relation recognition
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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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A rule-based approach to implicit emotion detection in text
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That's sick dude!: Automatic identification of word sense change across different timescales ...
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Network of the Day: Aggregating and Visualizing Entity Networks from Online Sources
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GermEval 2014 Named Entity Recognition Shared Task: Companion Paper
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