Papers by Boer Lyu

2 papers
Neural Graph Matching Networks for Chinese Short Text Matching (2020.acl-main)

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Challenge: Chinese word segmentation can be erroneous, ambiguous or inconsistent, causing performance problems.
Approach: They propose a sentence matching framework that uses paired word lattices as input instead of a character sequence.
Outcome: The proposed framework outperforms the state-of-the-art short text matching models on two Chinese datasets.
Glyph Enhanced Chinese Character Pre-Training for Lexical Sememe Prediction (2021.findings-emnlp)

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Challenge: Sememes are defined as the atomic units to describe the semantic meaning of concepts.
Approach: They propose a method which incorporates internal Chinese character information to help sememe prediction.
Outcome: The proposed method outperforms existing non-external information models on howNet, a famous sememe knowledge base.

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