Publications
Semantic matching using predicate-argument structure
Abstract
US PATENT DOCUMENTS The invention relates to topic classification systems in which text intervals are represented as proposition trees. Free-text 4,599,691 A 7, 1986 Sakaki queries and candidate responses are transformed into propo 4,754.326 A 6, 1988 Kramet al. sition trees, and a particular candidate response can be 4,809,351 A 2f1989 Abramovitz et al. matched to a free-text query by transforming the proposition
4.914, 590 A 4, 1990 Loatman et al. trees of the free-text query into the proposition trees of the 5,062,143 A 10/1991 Schmitt candidate responses. Because proposition trees are able to 5,343,537 A 8/1994 Bellegarda et al. capture semantic information of text intervals, the topic clas 5,406,480 A 4/1995 Kanno et al. sification system accounts for the relative importance of topic 5,418,717 A 5, 1995 Su et al. words, for paraphrases and re-wordings, and for omissions 5.438, 630 A 8, 1995 Chen et al …
- Date
- 2011
- Authors
- EM Boschee, M Levit, MR Freedman
- Inventors
- Elizabeth Megan Boschee, Michael Levit, Marjorie Ruth Freedman
- Patent_office
- US
- Patent_number
- 7890539
- Application_number
- 11974022