Sep 15, 2021 · We present an efficient and effective WEQ method, which is capable of extracting word embedding directly from these typical contexts.
Oct 30, 2021 · We present an efficient and effective WEQ method, which is capable of extracting word embedding directly from these typical contexts.
Sep 13, 2024 · We present an efficient and effective WEQ method, which is capable of extracting word embedding directly from these typical contexts.
Nov 1, 2021 · Mutual information between contexts and words can be encoded canoni- cally as a sampling state, thus, Q-contexts can be fast constructed.
This work shows that with merely a small fraction of contexts (Q-contexts) which are typical in the whole corpus, one can construct high-quality word ...
Two task-specific dependency-based word embedding methods are proposed for text classification in this work. In contrast with universal word embedding methods ...
Furthermore, we present an efficient and effective WEQ method, which is capable of extracting word embedding directly from these typical contexts. In practical ...
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Word embeddings are a type of word representation that allows words with similar meaning to have a similar representation.
Apr 6, 2022 · I am trying to extract from my Word2Vec model the Word/Embeddings Matrix (the one that has as rows each word vector, for word as center word) and the Context ...
Fast Extraction of Word Embedding from Q-contexts. Publication type: Conference Proceeding. DOI: 10.1145/3459637.3482343; Publication Year: 2021; Publisher: ACM.