Semantic matching using predicate-argument structure

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 propositio...

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Bibliographic Details
Main Authors BOSCHEE ELIZABETH MEGAN, FREEDMAN MARJORIE RUTH, LEVIT MICHAEL
Format Patent
LanguageEnglish
Published 04.09.2012
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary: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.
Bibliography:Application Number: US201113012225