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NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition. (arXiv:2205.05832v1 [cs.CL])
Web: http://arxiv.org/abs/2205.05832
May 13, 2022, 1:10 a.m. | Shuang Wu, Xiaoning Song, Zhenhua Feng, Xiaojun Wu
cs.CL updates on arXiv.org arxiv.org
Recently, FLAT has achieved great success in Chinese Named Entity Recognition
(NER). This method achieves lexical enhancement by constructing a flat lattice,
which mitigates the difficulties posed by blurred word boundaries and the lack
of word semantics. To this end, FLAT uses the position information of the
starting and ending characters to connect the matching words. However, this
method is likely to match more words when dealing with long texts, resulting in
very long input sequences. Therefore, it increases the …
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