Exploiting Information Extraction Annotations for Document Retrieval in Distillation Tasks
- Michael Levit ,
- Dilek Hakkani-Tür ,
- Gokhan Tur
Interspeech, Proc. of Interspeech |
Information distillation aims to extract relevant pieces of
information related to a given query from massive, possibly
multilingual, audio and textual document sources. In this paper,
we present our approach for using information extraction
annotations to augment document retrieval for distillation. We
take advantage of the fact that some of the distillation queries
can be associated with annotation elements introduced for the
NIST Automatic Content Extraction (ACE) task. We experimentally
show that using the ACE events to constrain the document
set returned by an information retrieval engine significantly
improves the precision at various recall rates for two
different query templates.