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Question Answering with LCC's CHAUCER-2 at TREC 2007

9 years 1 months ago
Question Answering with LCC's CHAUCER-2 at TREC 2007
In TREC 2007, Language Computer Corporation explored how a new, semantically-rich framework for information retrieval could be used to boost the overall performance of the answer extraction and answer selection components featured in its CHAUCER-2 automatic question-answering (Q/A) system. By replacing the traditional keyword-based retrieval system used in (?) with a new indexing and retrieval engine capable of retrieving documents or passages based on the distribution of named entities or semantic dependencies, we were able to dramatically enhance CHAUCER-2’s overall accuracy, while significantly reducing the number of of candidate answers that were considered by its Answer Ranking and Answer Validation modules.
Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Ben
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 2007
Where TREC
Authors Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Bensley, Tobias Jungen, Ying Shi, John Williams
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