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Using Word Embeddings to Analyze Protests News. (arXiv:2203.05875v1 [cs.CL])
March 14, 2022, 1:11 a.m. | Maria Alejandra Cardoza Ceron
cs.CL updates on arXiv.org arxiv.org
The first two tasks of the CLEF 2019 ProtestNews events focused on
distinguishing between protest and non-protest related news articles and
sentences in a binary classification task. Among the submissions, two well
performing models have been chosen in order to replace the existing word
embeddings word2vec and FastTest with ELMo and DistilBERT. Unlike bag of words
or earlier vector approaches, ELMo and DistilBERT represent words as a sequence
of vectors by capturing the meaning based on contextual information in the …
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