Index of papers in Proc. ACL 2009 that mention
  • discourse parsing
duVerle, David and Prendinger, Helmut
Building a Discourse Parser
In our work, we focused exclusively on the second step of the discourse parsing problem, i.e., constructing the RST tree from a sequence of edus that have been segmented beforehand.
Building a Discourse Parser
The motivation for leaving aside segmenting were both practical — previous discourse parsing efforts (Soricut and Marcu, 2003; LeThanh et al., 2004) already provide alternatives for standalone segmenting tools — and scientific, namely, the greater need for improvements in labeling.
Conclusions and Future Work
In this paper, we have shown that it is possible to build an accurate automatic text-level discourse parser based on supervised machine-learning algorithms, using a feature-driven approach and a manually annotated corpus.
Conclusions and Future Work
A complete online discourse parser , incorporating the parsing tool presented above combined with a new segmenting method has since been made freely available at http: / /nlp .
Evaluation
To the best of our knowledge, only two fully functional text-level discourse parsing algorithms for general text have published their results: Marcu’s decision-tree-based parser (Marcu, 2000) and the multilevel rule-based system built by LeThanh et al.
Introduction
The goal of discourse parsing is to extract this high-level, rhetorical structure.
Introduction
Discourse parsing , on the other hand, focuses on a higher-level view of text, allowing some flexibility in the choice of formal representation while providing a wide range of applications in both analytical and computational linguistics.
Introduction
Several attempts to automate discourse parsing have been made.
discourse parsing is mentioned in 10 sentences in this paper.
Topics mentioned in this paper:
Tofiloski, Milan and Brooke, Julian and Taboada, Maite
Abstract
Segmentation is the first step in a discourse parser , a system that constructs discourse trees from elementary discourse units.
Discussion
Besides its use in automatic discourse parsing , the system could
Introduction*
Since segmentation is the first stage of discourse parsing , quality discourse segments are critical to building quality discourse representations (Soricut and Marcu, 2003).
Introduction*
Most parsers can break down a sentence into constituent clauses, approaching the type of output that we need as input to a discourse parser .
Related Work
Soricut and Marcu (2003) construct a statistical discourse segmenter as part of their sentence-level discourse parser (SPADE), the only implementation available for our comparison.
discourse parsing is mentioned in 5 sentences in this paper.
Topics mentioned in this paper: