Abstract:
It is well known that lexical knowledge sources as WordNet, HowNet are very important to natural language processing applications in artificial intelligence. This paper p...Show MoreMetadata
Abstract:
It is well known that lexical knowledge sources as WordNet, HowNet are very important to natural language processing applications in artificial intelligence. This paper proposes a new Web-mining algorithm to automatically extend HowNetpsilas attribute set. Seeded by the original attribute set in HowNet, the algorithm uses a conjunctive lexical pattern plus a validation mechanism called PES (position exchanging search) to extend the lexicon iteratively on the Web. Also, a Web-based attribute classifier is constructed which behaves as a filter to control the level of false positives during each iteration. The algorithm is evaluated using both standard human judgements and HowNet based evaluation. Some experimental results about the performance of the method are provided.
Published in: 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Date of Conference: 16-18 December 2007
Date Added to IEEE Xplore: 03 September 2008
Print ISBN:978-0-7695-3122-9