@inproceedings{94b7b74ece294eefbceaed690b1138e9,
title = "Answer extraction in technical domains",
abstract = "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.",
author = "Fabio Rinaldi and Michael Hess and Diego Moll{\'a} and Rolf Schwitter and James Dowdall and Gerold Schneider and Rachel Fournier",
year = "2002",
language = "English",
isbn = "3540432191",
volume = "2276",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "360--369",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 3rd International Conference, CICLing 2002, Proceedings",
address = "United States",
note = "3rd Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2002 ; Conference date: 17-02-2002 Through 23-02-2002",
}