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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.
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Contributor : Claire Gardent <>
Submitted on : Wednesday, December 18, 2013 - 7:14:30 PM
Last modification on : Wednesday, January 6, 2021 - 6:48:02 AM
Long-term archiving on: : Thursday, March 20, 2014 - 11:26:45 AM


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  • HAL Id : hal-00920607, version 1



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. ⟨hal-00920607⟩



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