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
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;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463283
