A Hybrid Approach To Generating from the KBGen Knowledge-Base

Bikash Gyawali 1 Claire Gardent 1
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This abstract describes a contribution to the 2013 KBGen Challenge from CNRS/LORIA and the University of Lorraine. Our contribution focuses on an attempt to automate the extraction of a Feature Based Tree Adjoining Grammar equipped with a unification based compositional semantics which can be used to generate from KBGen data.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [1 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00920607
Contributor : Claire Gardent <>
Submitted on : Wednesday, December 18, 2013 - 7:14:30 PM
Last modification on : Tuesday, December 18, 2018 - 4:38:01 PM
Document(s) archivé(s) le : Thursday, March 20, 2014 - 11:26:45 AM

File

enlg2013-lorkbgen.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00920607, version 1

Collections

Citation

Bikash Gyawali, Claire Gardent. A Hybrid Approach To Generating from the KBGen Knowledge-Base. the 14th European Workshop on Natural Language Generation (ENLG), Aug 2013, Sofia, Bulgaria. pp.204-205, 2013. 〈hal-00920607〉

Share

Metrics

Record views

162

Files downloads

121