LEVEE
发表于 2025-3-21 16:15:57
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adroit
发表于 2025-3-21 22:37:39
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 . – a large . lexicon for English which was acquired automatically from several corpora and the Web. We ev
SPER
发表于 2025-3-22 01:26:48
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
发表于 2025-3-22 06:32:07
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
发表于 2025-3-22 11:04:07
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
发表于 2025-3-22 16:09:10
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
发表于 2025-3-22 19:35:56
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共同确定为确
发表于 2025-3-22 21:58:16
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
发表于 2025-3-23 04:58:11
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Concerto
发表于 2025-3-23 07:49:29
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