DocumentCode
596701
Title
The lightweight domain entailment recognition system
Author
Jun Shi ; Yinglin Wang
Author_Institution
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2012
fDate
18-20 Oct. 2012
Firstpage
820
Lastpage
824
Abstract
The inference ability aids to build a consolidated, consistent corpus or to search related text in a corpus. In this paper, we proposed a lightweight domain entailment recognition system which utilizes domain knowledge to recognize the atomic relations between constituents and join the atomic relations along the dependency structure. By telling the user not only the related texts existing in the corpus but also the entailment relations, redundancy or inconsistency can be prevented in advance.
Keywords
inference mechanisms; query processing; redundancy; text analysis; atomic relation recognition; dependency structure; domain knowledge utilization; entailment relations; inconsistency prevention; inference ability; lightweight domain entailment recognition system; redundancy prevention; text corpus; text search; Europe; Natural languages; Ontologies; Pragmatics; Semantics; Text recognition; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-1743-6
Type
conf
DOI
10.1109/ICACI.2012.6463283
Filename
6463283
Link To Document