Abstract

The invention relates to topic classi? cation systems in Which text intervals are represented as proposition trees. Free-text queries and candidate responses are transformed into propo sition 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 clas si? cation 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 identi? ed.

Date

2012

Authors

EM Boschee, M Levit, MR Freedman

Inventors

Elizabeth Megan Boschee, Michael Levit, Marjorie Ruth Freedman

Patent_office

US

Patent_number

8260817

Application_number

13012225