terminology as knowledge in answer extraction
10105 Institute of Computational Linguistics
410 Linguistics
000 Computer science, knowledge & systems
DOI:
10.5167/uzh-19092
Publication Date:
2002-01-01
AUTHORS (7)
ABSTRACT
It is well known that one of the greatest hurdles in automatically processing technical documentation is the large amount of specific terminology that characterizes these domains. Terminology poses two major challenges to the developers of NLP applications: how to identify domain specific terms in the documents and how to efficiently process them. In this paper we will present methodologies that we have used to extract and bootstrap a terminological database and its usage in an answer extraction system.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES ()
CITATIONS ()
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....