Using Information Extraction to Improve Document Retrieval
John Bear, David Israël, Jeff Petit, David L. Martin · 1998
The authors describe an approach to applying a particular kind of Natural Language Processing (NLP) system to the TREC routing task in Information Retrieval (IR). Rather than attempting to use NLP techniques in indexing documents in a corpus, they adapted an information extraction (IE) system to act as a post-filter on the output of an IR system. The IE system was configured to score each of the top 2000 documents as determined by an IR system and on the basis of that score to rerank those 2000 documents. One aim was to improve precision on routing tasks. Another was to make it easier to write IE grammars for multiple topics.