Semantic matching using predicate-argument structure
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United States of America Patent
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Feb 15, 2011
Grant Date -
Apr 16, 2009
app pub date -
Oct 10, 2007
filing date -
Oct 10, 2007
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Abstract
The invention relates to topic classification systems in which text intervals are represented as proposition trees. Free-text queries and candidate responses are transformed into proposition trees, and a particular candidate response can be matched to a free-text query by transforming the proposition trees of the free-text query into the proposition trees of the candidate responses. Because proposition trees are able to capture semantic information of text intervals, the topic classification system accounts for the relative importance of topic words, for paraphrases and re-wordings, and for omissions and additions. Redundancy of two text intervals can also be identified.
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