نتایج جستجو برای: lexical representation and semantic representation
تعداد نتایج: 16860018 فیلتر نتایج به سال:
Structured link vector model (SLVM) and its improved version depend on statistical term measures to implement XML document representation. As a result, they ignore the lexical semantics of terms and its mutual information, leading to text classification errors. This paper proposed a XML document representation method, WordNet-based lexical-semantic SLVM, to solve the problem. Using WordNet, thi...
Although words for human body parts appear early in children's vocabulary, relatively little is known about the conceptual and semantic development related to part preschool school ages. In this paper, we examine how children at ages 5, 7 9 use expressions refer its parts, these correspond segmentation lexicalization of terms adults. Participants were asked name that depicted drawings showing w...
Introduction: Understanding the representation components of the historical buildings in cyberspace and their impact on the mental image of the tourists is a significant fact in tourism recognition and management. A part of this subject is the impact of place representation on the destination image of the tourist. In this research, the destination is traditional accommodations that attract tour...
Over the last twenty years aspectual notions have been increasingly appealed to in structuring verbal lexical semantic representations and, concomitantly, in formulating principles of argument expression. This move has been further fueled by the significant insights that have emerged from this line of research. Yet, despite the enthusiasm for aspectual notions that their proliferation demonstra...
Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
The focus of this article is the integration of two different perspectives on lexical semantics: Discourse Representation Theory's (DRT) inferentially motivated approach and Semantic Emphasis The-ory's (SET) lexical field based view. A new joined representation format is developed which is exemplified by analyses of German verbs. The benefits thereof are on both sides. DI/T gains basic entries ...
UNLABELLED This study examined the ability of 20 preschool children with functional phonological delays and 34 age- and vocabulary-matched typical children to learn words differing in phonotactic probability (i.e., the likelihood of occurrence of a sound sequence) and neighborhood density (i.e., the number of words that differ from a target by one phoneme). Children were exposed to nonwords pai...
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