D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar

Katherine Forbes, Eleni Miltsakaki, Rashmi Prasad, Anoop Sarkar, Aravind Joshi, Bonnie Webber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We present an implementation of a discourse parsing system for a lexicalized Tree-Adjoining Grammar for discourse, specifying the integration of sentence and discourse level processing. Our system is based on the assumption that the compositional aspects of semantics at the discourse level parallel those at the sentence level. This coupling is achieved by factoring away inferential semantics and anaphoric features of discourse connectives. Computationally, this parallelism is achieved because both the sentence and discourse grammar are LTAG-based and the same parser works at both levels. The approach to an LTAG for discourse has been developed by Webber and colleagues in some recent papers. Our system takes a discourse as input, parses the sentences individually, extracts the basic discourse constituent units from the sentence derivations, and reparses the discourse with reference to the discourse grammar while using the same parser used at the sentence level.
Original languageEnglish
Title of host publicationInformation Structure, Discourse Structure and Discourse and Discourse Semantics Workshop Proceedings
EditorsIvana Kruijff-Korbayová, Mark Steedman
Number of pages20
Publication statusPublished - 2001
Event13th European Summer School in Logic, Language and Information (ESSLI2001) - University of Helsinki, Helsinki, Finland
Duration: 20 Aug 200124 Aug 2001


Workshop13th European Summer School in Logic, Language and Information (ESSLI2001)


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