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» Text-level Discourse Parsing with Rich Linguistic Features
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ACL
2012
11 years 7 months ago
Text-level Discourse Parsing with Rich Linguistic Features
In this paper, we develop an RST-style textlevel discourse parser, based on the HILDA discourse parser (Hernault et al., 2010b). We significantly improve its tree-building step b...
Vanessa Wei Feng, Graeme Hirst
ACL
2009
13 years 2 months ago
A Novel Discourse Parser Based on Support Vector Machine Classification
This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statisti...
David duVerle, Helmut Prendinger
ACL
2010
13 years 2 months ago
Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some...
Weiwei Sun
INTERSPEECH
2010
12 years 11 months ago
HMM-based prosodic structure model using rich linguistic context
This paper presents a study on the use of deep syntactical features to improve prosody modeling 1 . A French linguistic processing chain based on linguistic preprocessing, morphos...
Nicolas Obin, Xavier Rodet, Anne Lacheret