Question Answering with QED and Wee at TREC 2004
نویسندگان
چکیده
This report describes the experiments of the University of Edinburgh and the University of Sydney at the TREC-2004 question answering evaluation exercise. Our system combines two approaches: one with deep linguistic analysis using IR on the AQUAINT corpus applied to answer extraction from text passages, and one with a shallow linguistic analysis and shallow inference applied to a large set of snippets retrieved from the web. The results of our experiments support the following claims: (1) Webbased IR is a good alternative to “traditional” IR; and (2) deep linguistic analysis improves quality of exact answers.
منابع مشابه
Question Answering with QED at TREC 2005
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...
متن کاملCross-lingual Question Answering with QED
We present improvements and modifications of the QED open-domain question answering system developed for TREC-2003 to make it cross-lingual for participation in the CrossLinguistic Evaluation Forum (CLEF) Question Answering Track 2004 for the source languages French and German and the target language English. We use rule-based question translation extended with surface pattern-oriented preand p...
متن کاملQuestion Answering with QACTIS at TREC 2004
We provide a description of the QACTIS question-answering system and its application to and performance in the 2004 TREC question-answering evaluation. Since this was also QACTIS’s first year competing at TREC, we provide a complete overview of its purpose, development, structure, and its future directions.
متن کاملA Language Modeling Approach to Passage Question Answering
This paper reports our efforts on developing a language modeling approach to passage question answering. In particular, we address the following two problems: (i) generalized language modeling for question classification; (ii) constrained language modeling for passage retrieval.
متن کاملQED: The Edinburgh TREC-2003 Question Answering System
This report describes a new open-domain answer retrieval system developed at the University of Edinburgh and gives results for the TREC-12 question answering track. Phrasal answers are identified by increasingly narrowing down the search space from a large text collection to a single phrase. The system uses document retrieval, query-based passage segmentation and ranking, semantic analysis from...
متن کامل