Name
Abstract | ||
|---|---|---|
This paper surveys work on applying the insights of lexicalized grammars to low-level discourse, to show the value of positing an autonomous grammar for low-level discourse in which words (or idiomatic phrases) are associated with discourse-level predicate–argument structures or modification structures that convey their syntactic-semantic meaning and scope. It starts by describing a lexicalized Tree Adjoining Grammar for discourse (D-LTAG). It then reviews an initial experiment in parsing text automatically, using both a lexicalized TAG and D-LTAG, and then touches upon issues involved in how lexico-syntactic elements contribute to discourse semantics. The paper concludes with a brief description of the Penn Discourse TreeBank, a resource being developed for the study of discourse structure and semantics. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.cogsci.2004.04.002 | Cognitive Science |
Keywords | Field | DocType |
Discourse structure,Discourse connectives,Discourse parsing,Lexicalized grammar,Anaphora | Tree-adjoining grammar,Computer science,Grammar,Discourse analysis,Treebank,Formal grammar,Artificial intelligence,Natural language processing,Parsing,Linguistics,Syntax,Semantics | Journal |
Volume | Issue | ISSN |
28 | 5 | 0364-0213 |
Citations | PageRank | References |
21 | 2.53 | 20 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bonnie Lynn Webber | 1 | 1511 | 317.14 |