The role of technical Terminology in Question Answering

Terminology is arguably the most vital linguistic unit of technical documentation. Characterising the content of documents by the terminology they contain is a key factor in satisfactory document retrieval. But when users require answers rather than documents, more complex strategies for exploiting terminology are needed. Dealing effectively with this problem requires not only good techniques for terminology extraction but also ways to organize and structure the terminology. We describe some potential solutions to this problem, taking a Question Answering system as an example. We show which benefits our techniques bring to the system. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-19107 Originally published at: Rinaldi, Fabio; Dowdall, J; Hess, M; Kaljurand, K; Karlsson, M (2003). The role of technical Terminology in Question Answering. In: Terminologie et Intelligence Artificielle, TIA-2003, Strasbourg, France, März 2003 März 2003, 156-165. ConférenceTIA-2003, Strasbourg,31mars et 1 avril 2003 The Role of Technical Terminology in Question Answering Fabio Rinaldi, James Dowdall, Michael Hess, Kaarel Kaljurand, Magnus Karlsson Institute of Computational Linguistics, University of Z ̈ urich Winterthurerstrasse 190, CH-8057 Z ̈ urich, Switzerland frinaldi,dowdall,hess,kalju,karlsson g@cl.unizh.ch

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

[2]  Fidelia Ibekwe-SanJuan,et al.  Can syntactic variations highlight semantic links between domain topics , 2002 .

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

[4]  Park,et al.  Identifying the Interaction between Genes and Gene Products Based on Frequently Seen Verbs in Medline Abstracts. , 1998, Genome informatics. Workshop on Genome Informatics.

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

[6]  M. Teresa Cabré Castellví,et al.  Automatic term detection: A review of current systems , 2001 .

[7]  Fabio Rinaldi,et al.  Terminology as knowledge in answer extraction , 2002 .

[8]  Fidelia Ibekwe-Sanjuan,et al.  Terminological Variation, a Means of Identifying Research Topics from Texts , 1998, ACL.

[9]  Thomas C. Rindflesch,et al.  EDGAR: extraction of drugs, genes and relations from the biomedical literature. , 1999, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

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

[11]  Mark Craven,et al.  Constructing Biological Knowledge Bases by Extracting Information from Text Sources , 1999, ISMB.

[12]  Fabio Rinaldi,et al.  Answer Extraction in Technical Domains , 2002, CICLing.

[13]  James J. Cimino Knowledge-based terminology management in medicine , 2001 .

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

[15]  J. Cimino,et al.  Automatic knowledge acquisition from MEDLINE. , 1993, Methods of information in medicine.

[16]  Thierry Hamon,et al.  Detection of synonymy links between terms: experiment and results , 2001 .

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