Papers with Chinese discourse corpus

2 papers
Discourse Parsing Enhanced by Discourse Dependence Perception (2022.aacl-main)

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Challenge: Top-down neural models still suffer from the top-down error propagation issue . previous studies gradually switch from feature-based machine learning methods to deep neural models .
Approach: They propose a top-down framework that learns from discourse dependency and constituency parsing through one shared encoder and two independent decoders.
Outcome: The proposed framework learns from discourse dependency and constituency parsing through one shared encoder and two independent decoders on a Chinese discourse corpus.
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese (P19-1)

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Challenge: Currently, most studies on implicit discourse relation recognition use sentence-level representations . Chinese is a paratactic language that tends to pro-drop clause connectives .
Approach: They propose a topic tensor network to recognize Chinese implicit discourse relations with both sentence-level and topic-level representations.
Outcome: The proposed model outperforms state-of-the-art models in micro and macro F1 scores on a Chinese discourse corpus.

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