Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély, András Kornai, Márton Makrai, Dávid Márk Nemeskey
In repeval,
2016
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Slides (PDF)
Poster (PDF)
Slides (PDF)
Poster (PDF)
Multi-sense word embeddings (MSEs) model different meanings of word forms with different vectors. We propose two new methods for evaluating MSEs by their degree of semantic resolution, measuring the detail of the sense clustering. One method is based on monolingual dictionaries, and the other exploits the principle that words may be ambiguous as far as the postulated senses translate to different words in some other language.
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