Search Results for author: Zanbo Wang

Found 3 papers, 0 papers with code

Exploiting Global Contextual Information for Document-level Named Entity Recognition

no code implementations2 Jun 2021 Zanbo Wang, Wei Wei, Xianling Mao, Shanshan Feng, Pan Zhou, Zhiyong He, Sheng Jiang

To this end, we propose a model called Global Context enhanced Document-level NER (GCDoc) to leverage global contextual information from two levels, i. e., both word and sentence.

named-entity-recognition Named Entity Recognition +2

A Survey on Recent Advances in Sequence Labeling from Deep Learning Models

no code implementations13 Nov 2020 Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang

Sequence labeling (SL) is a fundamental research problem encompassing a variety of tasks, e. g., part-of-speech (POS) tagging, named entity recognition (NER), text chunking, etc.

Chunking Information Retrieval +9

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