Boosting Transition-Based Amr Parsing With Refined Actions And Auxiliary Analyzers

Chuan Wang,Nianwen Xue,Sameer Pradhan

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2（2015）

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摘要

We report improved AMR parsing results by adding a new action to a transition-based AMR parser to infer abstract concepts and by incorporating richer features produced by auxiliary analyzers such as a semantic role labeler and a coreference resolver. We report final AMR parsing results that show an improvement of 7% absolute in F-1 score over the best previously reported result. Our parser is available at: https://github.com/Juicechuan/AMRParsing

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