Title
Syntax-Based Concept Extraction For Question Answering Using Semex
Abstract
The SEMEX tool tor question answering is presented. Its architecture and features for extracting from input text a network of concept nodes that index syntax-based logical forms, are described. Methods are shown for decomposing questions into boolean combinations of question patterns and for using the concept network and logical forms together with WordNet for question answering. SEMEX's encouraging performance against the TREC 2005 question answering test set is discussed. Compilation copyright © 2006. American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Publication Date
7-24-2006
Publication Title
FLAIRS 2006 - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference
Volume
2006
Number of Pages
789-790
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
33746037568 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33746037568
STARS Citation
Glinos, Demetrios G. and Gomez, Fernando, "Syntax-Based Concept Extraction For Question Answering Using Semex" (2006). Scopus Export 2000s. 8238.
https://stars.library.ucf.edu/scopus2000/8238