Improving Term Extraction with Terminological Resources

Details Improving Term Extraction with Terminological Resources Improving Term Extraction with Terminological Resources

2006-09-06

arxiv.org/abs/cs/0609019v1

Advances in Natural Language Processing 5th International Conference on NLP, FinTAL 2006 (2006) 380

Computer Science

Computation and Language

Scientific paper

Studies of different term extractors on a corpus of the biomedical domain revealed decreasing performances when applied to highly technical texts. The difficulty or impossibility of customising them to new domains is an additional limitation. In this paper, we propose to use external terminologies to influence generic linguistic data in order to augment the quality of the extraction. The tool we implemented exploits testified terms at different steps of the process: chunking, parsing and extraction of term candidates. Experiments reported here show that, using this method, more term candidates can be acquired with a higher level of reliability. We further describe the extraction process involving endogenous disambiguation implemented in the term extractor YaTeA.

Affiliated with

Also associated with

No associations

Rating

Improving Term Extraction with Terminological Resources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Improving Term Extraction with Terminological Resources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improving Term Extraction with Terminological Resources will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-418286