Knowledge-Rich Contexts Discovery

Download
  1. (PDF, 279 KB)
AuthorSearch for:
TypeArticle
ConferenceSeventeenth Canadian Conference on Artificial Intelligence (AI'2004), May 2004., London, Ontario, Canada
AbstractWithin large corpora of texts, Knowledge-Rich Contexts (KRCs) are a subset of sentences containing information that would be valuable to a human for the construction of a knowledge base. The entry point to the discovery of KRCs is the automatic identification of Knowledge Patterns (KPs) which are indicative of semantic relations. Machine readable dictionary serves as our starting point for investigating the types of knowledge embodied in definitions and some associated KPs. We then move toward corpora analysis and discuss issues of generality/specificity as well as KPs efficiency. We suggest an expansion of the lexical-syntactic definitions of KPs to include a semantic dimension, and we briefly present a tool for knowledge acquisition, SeRT, which allows user such flexible definition of KPs for automatic discovery of KRCs.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number48076
NPARC number5765481
Export citationExport as RIS
Report a correctionReport a correction
Record identifieredcf9965-c0b6-45d0-9eed-b7ace9b442ee
Record created2009-03-29
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)