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

@article{ForbesRiley2003DLTAGSD,
  title={D-LTAG System: Discourse Parsing with a Lexicalized Tree-Adjoining Grammar},
  author={Katherine Forbes-Riley and Eleni Miltsakaki and R. Prasad and Anoop Sarkar and Aravind K. Joshi and Bonnie Lynn Webber},
  journal={Journal of Logic, Language and Information},
  year={2003},
  volume={12},
  pages={261-279}
}
We present an implementation of a discourse parsing system for alexicalized Tree-Adjoining Grammar for discourse, specifying the integrationof sentence and discourse level processing. Our system is based on theassumption that the compositional aspects of semantics at thediscourse level parallel those at the sentence level. This coupling isachieved by factoring away inferential semantics and anaphoric features ofdiscourse connectives. Computationally, this parallelism is achievedbecause both the… 

D-LTAG: extending lexicalized TAG to discourse

  • B. Webber
  • Linguistics, Sociology
    Cogn. Sci.
  • 2004

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This work designed and developed an end-to-end discourse parser to parse free texts in the PDTB style in a fully data-driven approach and proposes and presents a comprehensive evaluation from both component-wise and error-cascading perspectives.

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