Word Vector Space Specialisation

EACL 2017 Ivan Vuli{\'c}Nikola Mrk{\v{s}}i{\'c}Mohammad Taher Pilehvar

Specialising vector spaces to maximise their content with respect to one key property of vector space models (e.g. semantic similarity vs. relatedness or lexical entailment) while mitigating others has become an active and attractive research topic in representation learning. Such specialised vector spaces support different classes of NLP problems... (read more)

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