Answer Extraction in Technical Domains

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.

[1]  Ellen M. Voorhees,et al.  The TREC-8 Question Answering Track Report , 1999, TREC.

[2]  Daniel Dominic Sleator,et al.  Parsing English with a Link Grammar , 1995, IWPT.

[3]  Ulf Hermjakob,et al.  Parsing and Question Classification for Question Answering , 2001, ACL 2001.

[4]  David L. Davidson,et al.  The Logical Form of Action Sentences , 2001 .

[5]  Fabio Rinaldi,et al.  Towards Answer Extraction: An application to Technical Domains , 2002, ECAI.

[6]  Wlodek Zadrozny,et al.  Natural Language Processing within a Slot Grammar Framework , 1992, Int. J. Artif. Intell. Tools.

[7]  Gerard Salton,et al.  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[8]  Inderjeet Mani,et al.  Another Sys Called Qanda , 2000, TREC.

[9]  Lynette Hirschman,et al.  Natural language question answering: the view from here , 2001, Natural Language Engineering.

[10]  Ellen M. Voorhees,et al.  The Eighth Text REtrieval Conference (TREC-8) , 2000 .

[11]  Dan Flickinger,et al.  Minimal Recursion Semantics: An Introduction , 2005 .

[12]  Diego Mollá Ontologically promiscuous flat logical forms for NLP , 2001 .

[13]  Rolf Schwitter,et al.  ANSWER EXTRACTION USING A DEPENDENCY GRAMMAR IN EXTRANS , 2000 .

[14]  Ellen M. Voorhees,et al.  The TREC-8 Question Answering Track , 2001, LREC.

[15]  Sanda M. Harabagiu,et al.  FALCON: Boosting Knowledge for Answer Engines , 2000, TREC.

[16]  Jerry R. Hobbs Ontological Promiscuity , 1985, ACL.

[17]  Donna K. Harman,et al.  A very fast prototype retrieval system using statistical ranking , 1989, SIGF.

[18]  Ralph Grishman,et al.  Using NOMLEX to Produce Nominalization Patterns for Information Extraction , 1998, ACL 1998.

[19]  Michael Collins,et al.  A New Statistical Parser Based on Bigram Lexical Dependencies , 1996, ACL.

[20]  Rolf Schwitter,et al.  ExtrAns, an answer extraction system , 2000 .

[21]  Ellen M. Voorhees,et al.  The TREC-8 Question Answering Track Evaluation , 2000, TREC.

[22]  Christian Jacquemin,et al.  QALC--The Question-Answering System of LIMSI-CNRS , 2000, TREC.

[23]  Jungyun Seo,et al.  MAYA: A Fast Question-answering System Based on a Predictive Answer Indexer , 2001, ACL 2001.

[24]  Fabio Rinaldi,et al.  Technical Terminology as a Critical Resource , 2002, LREC.

[25]  Jimmy J. Lin,et al.  Data-Intensive Question Answering , 2001, TREC.

[26]  Eduard H. Hovy,et al.  Question Answering in Webclopedia , 2000, TREC.

[27]  Terry Winograd,et al.  Understanding natural language , 1974 .

[28]  Shalom Lappin,et al.  An Algorithm for Pronominal Anaphora Resolution , 1994, CL.

[29]  Douglas B. Lenat,et al.  CYC: a large-scale investment in knowledge infrastructure , 1995, CACM.

[30]  Eric Brill,et al.  A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation , 1994, COLING.

[31]  Charles L. A. Clarke,et al.  Question Answering by Passage Selection (MultiText Experiments for TREC-9) , 2000, TREC.

[32]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[33]  Christian Jacquemin,et al.  EMPIRICAL OBSERVATION OF TERM VARIATIONS AND PRINCIPLES FOR THEIR DESCRIPTION , 1996 .

[34]  Mark Sanderson,et al.  University of Sheffield TREC-8 Q&A System , 1999, TREC.

[35]  Marius Pasca,et al.  Answer Mining from On-Line Documents , 2001, ACL 2001.

[36]  Michael Collins,et al.  Answer Extraction , 2000, ANLP.