Multiple Adjunction in Feature-Based Tree-Adjoining Grammar

Claire Gardent 1 Shashi Narayan 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : In parsing with Tree Adjoining Grammar (TAG), independent derivations have been shown by Schabes and Shieber (1994) to be essential for correctly supporting syntactic analysis, semantic interpretation, and statistical language modeling. However, the parsing algorithm they propose is not directly applicable to Feature-Based TAGs (FB-TAG). We provide a recognition algorithm for FB-TAG that supports both dependent and independent derivations. The resulting algorithm combines the benefits of independent derivations with those of Feature-Based grammars. In particular , we show that it accounts for a range of interactions between dependent vs. independent derivation on the one hand, and syntactic constraints, linear ordering, and scopal vs. nonscopal semantic dependencies on the other hand.
Document type :
Journal articles
Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2015, 41 (1), pp.29. 〈http://www.mitpressjournals.org/toc/coli/41/1〉. 〈10.1162/COLI_a_00217〉
Liste complète des métadonnées

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/hal-01249975
Contributor : Claire Gardent <>
Submitted on : Monday, January 4, 2016 - 1:14:17 PM
Last modification on : Tuesday, April 24, 2018 - 1:34:16 PM

File

gardent-narayan-CL-june2014.pd...
Files produced by the author(s)

Identifiers

Collections

Citation

Claire Gardent, Shashi Narayan. Multiple Adjunction in Feature-Based Tree-Adjoining Grammar. Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2015, 41 (1), pp.29. 〈http://www.mitpressjournals.org/toc/coli/41/1〉. 〈10.1162/COLI_a_00217〉. 〈hal-01249975〉

Share

Metrics

Record views

422

Files downloads

64