semantic classification
Semantic Classification of Automatically Acquired Nouns using Lexico Syntactic Clues
... As briefly mentioned in Section 2.3, Japanese numeral quantifiers received scholarly attention in the fields of linguistic philosophy and lin- guistics in relation to the count/mass distinc- tion (Quine, 1969; Gil, ...
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A Thesaurus-Based Semantic Classification of English Collocations
... thesaurus-based semantic classification model that automatically learns semantic relations for classifying adjective-noun (A-N) and verb-noun (V-N) collocations into different thesaurus ...and ...
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Automatic Semantic Classification for Chinese Unknown Compound Nouns
... for semantic classification is 84% and 81% for the first hundred samples and the second hundred samples ...not semantic com- position of the meanings of their morphological ...the ...
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Semantic Classification with Distributional Kernels
... for classification are well-known tools in Natural Language ...three semantic classification: compound noun interpretation, identification of se- mantic relations between nominals and se- mantic ...
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Hybrid Models for Semantic Classification of Chinese Unknown Words
... on semantic annotation has focused primarily on word sense disambiguation (WSD), ...on semantic classification of unknown words, ...Successful classification of unknown words is not only ...
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A Thesaurus-Based Semantic Classification of English Collocations
... thesaurus-based semantic classification could generate collocation clusters based on human-like word meaning similarities to a significant ...of semantic label assignment also strongly excel in ...
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Improving Human Needs Categorization of Events with Semantic Classification
... 10 semantic concepts associated with Human Needs cat- egories, and incorporate these labels as fea- tures for event ...relevant semantic con- cepts improves both the recall and precision of Human Needs ...
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Semantic Classification of Chinese Unknown Words
... Prior research in Chinese unknown words mostly focused on proper nouns (Lee 1993, Lee, Lee and Chen 1994, Huang, Hong and Chen 1994, Chen and Chen 2000). This paper does not address proper nouns, focusing rather on ...
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Automatic lexical semantic classification of nouns
... Different supervised Machine Learning (ML) techniques and cue selection methods have been applied to cue-based lexical acquisition. Merlo and Stevenson (2001) used Decision Trees (DT) and selected ad hoc linguistic cues ...
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Preposition Semantic Classification via Treebank and FrameNet
... very effective. Table 9 shows the results when all of the prepositions are classified together. Unlike the general case for WSD, the sense inventory is the same for all the words here; therefore, a sin- gle classifier ...
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Using unmarked contexts in nominal lexical semantic classification
... One of the main concerns regarding the use of unmarked distributional information was the intro- duction of extra noise as a side effect and the way this affects classification results. For the purpose of the work ...
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Semantic Classification of Gojri Compounds
... Compounding is a prolific procedure of word formation in many languages. A compound is a lexeme having more than one root that acts as an individual word (J. Hladky, 1998). A compound is a lexeme that comprises at least ...
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AN AUTOMATED CLASSIFICATION OF EMAIL CONTENTS BASED ON SEMANTIC MINING
... Email Classification is one of the vital problems in the email management due to its impact on the ...the classification of the email against relevant and irrelevant ...organizations. Classification ...
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Towards A Welsh Semantic Annotation System
... Automatic semantic annotation of natural language data is an important task in Natural Language Processing, and a variety of semantic taggers have been developed for this task, particularly for ...Welsh ...
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Using Grammar Rule Clusters for Semantic Relation Classification
... accurate semantic classification of many types, and sources range from the hand-crafted-yet sparse (such as WordNet) to the robust-yet-noisy (such as the In- ...relation classification, from knowl- ...
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8-12-2011 12:00 AM An Investigation of Masked Priming Mechanisms in Binary Classification Tasks
... instructions, semantic activation played a key role in producing masked priming even when the identification task showed evidence of priming from S-R ...activate semantic information nor any a priori ...
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Text Classification Based on LDA and Semantic Analysis
... text classification effect, in order to get the text features which have the high contribution to the text classification in class, this paper proposes a text classification method based on LDA model ...
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Music classification by low-rank semantic mappings
... Retail and online music stores usually index their collec- tions by artist or album name. However, people often need to search for music by content. For example, a search facility is offered by emerging music-oriented ...
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A Unified Architecture for Semantic Role Labeling and Relation Classification
... tasks: semantic role labeling (SRL) which identifies the relations between predicates and arguments, and relation classification (RC) which focuses on the relation between two entities or ...
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Semantic Relation Classification: Task Formalisation and Refinement
... the classification of semantic relations within certain domains, since concepts representing abstract entities or quantitative/qualitative roles, such as “credit”, “debit”, “investment”, “demand”, “profit”, ...
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