- Abstract:
-
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.
- Links To Paper
- pointer from Journal of Logic, Language and Information website
- Bibtex format
- @Article{EDI-INF-RR-0814,
- author = {
Katherine Forbes
and Eleni Miltsakaki
and Rashmi Prasad
and Anoop Sarkar
and Aravind Joshi
and Bonnie Webber
},
- title = {D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar},
- journal = {Journal of Logic, Language and Information},
- publisher = {Springer},
- year = 2003,
- volume = {12(3)},
- pages = {261-279},
- doi = {10.1023/A:1024137719751},
- url = {http://dx.doi.org/10.1023/A:1024137719751},
- }
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