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Abstract: This report describes the system developed by the University of Edinburgh and the University of Sydney for the TREC-2005 question answering evaluation exercise. The backbone of our question-answering platform is QED, a linguistically-principled QA system. We experimented with external sources of knowledge, such as Google and Wikipedia, to enhance the performance of QED, especially for reranking and off-line processing of the corpus. (Update)
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BibTeX entry: (Update)
@misc{ johan-question,
author = "Kisuh Ahn Johan",
title = "Question Answering with QED at TREC-2005",
url = "citeseer.ist.psu.edu/750885.html" }
Citations (may not include all citations):278 From Discourse to Logic (context) - Kamp, Reyle - 1993
240 Identification of common molecular subsequences - Smith, Waterman - 1981
26 Experiments using the lemur toolkit - Ogilvie, Callan - 2001
5 Investigating GIS and smoothing for maximum entropy taggers - Curran, Clark - 2003
4 Parsing the WSJ using CCG and Log-Linear Models (context) - Clark, Curran - 2004
4 The QED open-domain answer retrieval system for TREC (context) - Leidner, Bos et al. - 2003
3 Wide-Coverage Semantic Representations from a CCG Parser (context) - Bos, Clark et al. - 2004
1 Automatic aquisition of hyponyms from large text corpora (context) - Hearst - 1992
1 Question answering with qed and wee at trec (context) - Ahn, Bos et al. - 2004
1 Improving answer precision and recall of list questions (context) - Kor - 2005
1 Towards wide-coverage semantic interpretation (context) - Bos - 2005
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