Встраивание смыслов

method ID: senseembedding

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Context-Dependent Sense Embedding

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Word embedding has been widely studied and proven helpful in solving many natural lan- guage processing tasks. However, the ambi- guity of natural language is always a prob- lem on …...

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GenSense: A Generalized Sense Retrofitting Model

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AbstractWith the aid of recently proposed word embedding algorithms, the study of semantic similarity has progressed and advanced rapidly. However, many natural language processing tasks need sense level representation. To …...

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AbstractA major obstacle in Word Sense Disambiguation (WSD) is that word senses are not uniformly distributed, causing existing models to generally perform poorly on senses that are either rare or …...

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MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models

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AbstractSense embedding models handle polysemy by giving each distinct meaning of a word form a separate representation. They are considered improvements over word models, and their effectiveness is usually judged …...

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