NDLI: Category-associated collocative concept primitives extraction

Content Provider	IEEE Xplore Digital Library
Author	Zhejie Chi Quan Zhang
Copyright Year	2014
Description	Author affiliation: Inst. of Acoust., Beijing, China (Zhejie Chi; Quan Zhang)
Abstract	Collocation is studied as an essential linguistic phenomenon in traditional natural language processing. Similarity, collocative concept primitives are introduced in HNC Concept Primitive Space to present the concept primitive pair co-occurring frequently. Collocative concept primitives can be studied with categories together as concept primitives usually contain category information. To explore the collocation phenomenon in the field of HNC and apply collocative information to language processing, this paper presents a two-stage approach to extract category-associated collocative concept primitives from a classification corpus. By conducting collocative concept primitives extraction in each sub-category corpus and carrying out category-associated collocative concept primitives extraction in the summarized corpus, we generate a category-associated collocative concept primitives list for each category. Our experiments show the items we extract are consistent with the reality and are of significance.
Starting Page	219
Ending Page	223
File Size	161472
Page Count	5
File Format	PDF
ISBN	9781479953301
DOI	10.1109/IALP.2014.6973475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Concept primitives Simple-ll measure Presses Collocation extraction Agriculture Acoustics Computational linguistics Frequency measurement Chi-squared test HNC Pragmatics
Content Type	Text
Resource Type	Article

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