Papers by Yajie Ye

3 papers
Universal Semantic Tagging for English and Mandarin Chinese (2021.naacl-main)

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Challenge: Existing approaches to generating semantic annotations for different languages are attracting more and more interest.
Approach: They propose to extend Universal Semantic Tagging to Mandarin Chinese and evaluate its performance.
Outcome: The proposed scheme is only tested in four Indo–European languages . accuracies are 92.7% and 94.6% for Chinese and English respectively .
Language Generation via DAG Transduction (P18-1)

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Challenge: Existing formal frameworks for graph manipulation are underexploited.
Approach: They propose a DAG transducer to perform graph-to-program transformation using a declarative programming language.
Outcome: The proposed transducer achieves a BLEU-4 score of 68.07 for natural language generation from type-logical semantic graphs.
Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis (2020.acl-main)

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Challenge: Existing algorithms for graph parsing are exponential or high-degree polynomial w.r.t. grammars, and there are few systems that can parse large but frequent MRs with a realistic, wide-coverage grammar in a reasonable time.
Approach: They propose an exact graph parsing algorithm that exploits locality as terminal edge-adjacency in HRG rules and categorizes a subclass of HRG.
Outcome: The proposed method can parse graphs with a (competence) grammar in a time-efficient manner.

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