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Recursive Deep Models for Discourse Parsing
| Citations: | 9 - 2 self |
BibTeX
@MISC{Li_recursivedeep,
author = {Jiwei Li and Rumeng Li and Eduard Hovy},
title = {Recursive Deep Models for Discourse Parsing},
year = {}
}
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Abstract
Text-level discourse parsing remains a challenge: most approaches employ fea-tures that fail to capture the intentional, se-mantic, and syntactic aspects that govern discourse coherence. In this paper, we pro-pose a recursive model for discourse pars-ing that jointly models distributed repre-sentations for clauses, sentences, and en-tire discourses. The learned representa-tions can to some extent learn the seman-tic and intentional import of words and larger discourse units automatically,. The proposed framework obtains comparable performance regarding standard discours-ing parsing evaluations when compared against current state-of-art systems. 1
Keyphrases
recursive deep model discourse parsing syntactic aspect text-level discourse parsing learned representa-tions discourse coherence recursive model standard discours-ing parsing evaluation current state-of-art system discourse pars-ing intentional import comparable performance en-tire discourse
