Extracting Domain-Specific Words - A Statistical Approach. Su Nam Kim, Timothy Baldwin, Min-Yen Kan. kim-etal-2009-extracting PDF
This paper focuses on the unsupervised automated domain term extraction method that considers chunking, preprocessing, and ranking domain-specific terms using ...
Abstract · 1 Introduction · 2 Unsupervised Domain-Specific Term Extraction. 2.1 Proposed Method (D1); 2.2 Benchmark Method (D2); 2.3 Collecting Domain-Specific ...
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Extracting Domain-Specific Words - A Statistical Approach. Su Nam Kim, Timothy Baldwin, Min-Yen Kan. December 2009. Cite URL. Type. Conference paper.
A statistical method is proposed for domain-specific term extraction from domain comparative corpora. It takes distribution of a candidate word among ...
This paper argues in favor of a statistical approach to terminology extraction, general to all languages but with language specific parameters.
This approach can not only be used for keyword suggestions for the STW, but also for finding terms for indexing of document collections. We investigate three ...
Statistical approach concerning the termhood, it is statistically determined based on the observation that the highly frequent expressions in a domain specific ...
May 28, 2015 · Existing terminology extraction approaches are mostly domain dependent. They use domain specific linguistic rules, supervised machine learning ...