System and method for extraction of factoids from textual repositories

摘要

A method ( 400 ) is disclosed of extracting factoids from text repositories, with the factoids being associated with a given factoid category. The method ( 400 ) starts by training a classifier ( 230 ) to recognise factoids relevant to that given factoid category. Documents or document summaries relevant to the given factoid category is next collected ( 410 ) from the text repositories. Sentences having a predetermined association to the given factoid category is extracted ( 420 ) from the documents or said document summaries. Those sentences are classified ( 440 ), in a noisy environment, using the classifier ( 230 ) to extract snippets containing phrases relevant to the given factoid category. It is the extracted snippets that are the factoid associated with the given factoid category.