A very fast prototype retrieval system using statistical ranking
ACM SIGIR Forum
An algorithm for pronominal anaphora resolution
Computational Linguistics
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A new statistical parser based on bigram lexical dependencies
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A rule-based approach to prepositional phrase attachment disambiguation
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
MAYA: a fast Question-answering system based on a predictive answer indexer
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Parsing and question classification for question answering
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Answer mining from on-line documents
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Complex structuring of term variants for Question Answering
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
A high-performance FAQ retrieval method using minimal differentiator expressions
Knowledge-Based Systems
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In recent years, the information overload caused by the new media has made the shortcomings of traditional Information Retrieval increasingly evident. Practical needs of industry, government organizations and individual users alike push the research community towards systems that can exactly pinpoint those parts of documents that contain the information requested, rather than return a set of relevant documents. Answer Extraction (AE) systems aim to satisfy this need. In this article we discuss the problems faced in AE and present one such system.