Learning class-specific word embeddings

Sicong Kuang
Sicong Kuang

JOURNAL OF SUPERCOMPUTING, pp. 8265-8292, 2020.

Cited by: 1|Views28
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Abstract:

Recent years have seen the success of applying word embedding algorithms to natural language processing (NLP) tasks. Most word embedding algorithms only produce a single embedding per word. This makes the learned embeddings indiscriminative since many words are polysemous. Some prior work utilizes the context in which the word resides to ...More

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