Titlebook: Computational Linguistics and Intelligent Text Processing; 9th International Co Alexander Gelbukh Conference proceedings 2008 Springer-Verl

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书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)




书目名称Computational Linguistics and Intelligent Text Processing影响因子(影响力)学科排名




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书目名称Computational Linguistics and Intelligent Text Processing网络公开度学科排名




书目名称Computational Linguistics and Intelligent Text Processing被引频次




书目名称Computational Linguistics and Intelligent Text Processing被引频次学科排名




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书目名称Computational Linguistics and Intelligent Text Processing年度引用学科排名




书目名称Computational Linguistics and Intelligent Text Processing读者反馈




书目名称Computational Linguistics and Intelligent Text Processing读者反馈学科排名

adroit

Verb Class Discovery from Rich Syntactic Dataharacteristics by comparing a range of feature sets extracted from data where the proportion of verbal arguments and adjuncts is controlled. The data are obtained from different versions of . [1] – a large . lexicon for English which was acquired automatically from several corpora and the Web. We ev

SPER

Growing TreeLex76 occurrences). The goal of the project is to obtain a list of subcategorization frames of contemporary French verbs and to estimate the number of different verb frames available in French in general. A few more frames are discovered when the corpus size changes, but the average number of frames pe

方便

Acquisition of Elementary Synonym Relations from Biological Structured Terminologyeless, we notice that such resources, particularly in specialised domains, are missing. However, specialised domains, . biomedicine, propose several structured terminologies. In this paper, we propose a high-quality method for exploiting a structured terminology and inferring a specialised elementar

craving

A Comparison of Co-occurrence and Similarity Measures as Simulations of Contextachieve a simulation of semantic word similarity for applications such as word or document clustering and collocation extraction. Despite the simplicity of the underlying model, it is necessary to select a proper significance, a similarity measure and a similarity computation algorithm. However, it

智力高

Various Criteria of Collocation Cohesion in Internet: Comparison of Resolving Powerohesion measure (.) based on numbers of collocate occurring closely together (..) and apart (.., ..) is well known, but the Web page statistics deprives . of its statistical validity. We propose a family of different measures that depend on .., .. and .. in a similar monotonic way and possess the sc

智力高

共同确定为确

SIGNUM: A Graph Algorithm for Terminology Extraction, we present a novel graph-based approach to terminology extraction. We use SIGNUM, a general purpose graph-based algorithm for binary clustering on directed weighted graphs generated using a metric for multi-word extraction. Our approach is totally knowledge-free and can thus be used on corpora wri

Limpid

Concerto

A Probabilistic Model for Guessing Base Forms of New Words by Analogyglish, one might assume that they appear in base form, i.e., the lexical look-up form. However, in more highly inflecting languages like Finnish or Swahili only 40-50 % of new words appear in base form. In order to index documents or discover translations for these languages, it would be useful to r