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Towards semantic-rich word embeddings
Publication
- G. Beringer
- M. Jabłoński
- P. Januszewski
- A. Sobecki
- J. Szymański
- Annals of Computer Science and Information Systems - Year 2019
In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary. Constructing separate embeddings for meanings of ambiguous words could be useful for solving the Word Sense Disambiguation (WSD)...

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