8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

Selecting On-Topic Sentences from Natural Language Corpora

Michael Levit, Elizabeth Boschee, Marjorie Freedman

BBN Technologies, USA

We describe a system that examines input sentences with respect to arbitrary topics formulated as natural language expressions. It extracts predicate-argument structures from text intervals and links them into semantically organized proposition trees. By instantiating trees constructed for topic descriptions in trees representing input sentences or parts thereof, we are able to assess degree of "topicality" for each sentence. The presented strategy was used in the BBN distillation system for the GALE Year 1 evaluation and achieved outstanding results compared to other systems and human participants.

Full Paper

Bibliographic reference.  Levit, Michael / Boschee, Elizabeth / Freedman, Marjorie (2007): "Selecting on-topic sentences from natural language corpora", In INTERSPEECH-2007, 2793-2796.