Relevance-based abstraction identification: technique and evaluation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Software
Link
http://link.springer.com/content/pdf/10.1007/s00766-011-0122-3.pdf
Reference46 articles.
1. Aguilera C, Berry DM (1990) The use of a repeated phrase finder in requirements extraction. J Syst Softw 13(3):209–230. doi: 10.1016/0164-1212(90)90097-6
2. Ananiadou S (1994) A methodology for automatic term recognition. In: Proceedings of the 15th conference on computational linguistics. Association for Computational Linguistics, Morristown, NJ, USA, pp 1034–1038. doi: 10.3115/991250.991317
3. Berry-Rogghe G (1973) The computation of collocations and their relevance in lexical studies. Edinburgh University Press, Edinburgh
4. Bourigault D (1992) Surface grammatical analysis for the extraction of terminological noun phrases. In: Proceedings of the 14th conference on computational linguistics. Association for Computational Linguistics, Morristown, NJ, USA, pp 977–981. doi: 10.3115/993079.993111
5. Cleland-Huang J, Berenbach B, Clark S, Settimi R, Romanova E (2007) Best practices for automated traceability. Computer 40(6):27–35. doi: 10.1109/MC.2007.195
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