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Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings. (arXiv:2201.11885v1 [cs.CL])
Web: http://arxiv.org/abs/2201.11885
Jan. 31, 2022, 2:10 a.m. | Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng
cs.CL updates on arXiv.org arxiv.org
Microblogging sites, like Twitter, have emerged as ubiquitous sources of
information. Two important tasks related to the automatic extraction and
analysis of information in Microblogs are Entity Mention Detection (EMD) and
Entity Detection (ED). The state-of-the-art EMD systems aim to model the
non-literary nature of microblog text by training upon offline static datasets.
They extract a combination of surface-level features -- orthographic, lexical,
and semantic -- from individual messages for noisy text modeling and entity
extraction. But given the constantly …
More from arxiv.org / cs.CL updates on arXiv.org
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