Paper: Dependency-based Discourse Parser for Single-Document Summarization

ACL ID D14-1196
Title Dependency-based Discourse Parser for Single-Document Summarization
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

The current state-of-the-art single- document summarization method gen- erates a summary by solving a Tree Knapsack Problem (TKP), which is the problem of finding the optimal rooted sub- tree of the dependency-based discourse tree (DEP-DT) of a document. We can obtain a gold DEP-DT by transforming a gold Rhetorical Structure Theory-based discourse tree (RST-DT). However, there is still a large difference between the ROUGE scores of a system with a gold DEP-DT and a system with a DEP-DT obtained from an automatically parsed RST-DT. To improve the ROUGE score, we propose a novel discourse parser that directly generates the DEP-DT. The evaluation results showed that the TKP with our parser outperformed that with the state-of-the-art RST-DT parser, and achieved almost equivalent ROUGE scores t...