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word association

Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge

Design of Word Association Games using Dialog Systems for Acquisition of Word Association Knowledge

... acquiring word asso- ciation knowledge of high quality on the basis of a game with a purpose ...acquired word associations using a word association game as a ...the word ...

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Exploring the Chinese Mental Lexicon with Word Association Norms

Exploring the Chinese Mental Lexicon with Word Association Norms

... of word association techniques, which have rarely been applied on ...pilot word association test on native Hong Kong Cantonese ...including word frequency, part-of-speech, syllabicity, ...

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Hypothesizing Word Association From Untagged Text

Hypothesizing Word Association From Untagged Text

... HYPOTHESIZING WORD ASSOCIATION FROM UNTAGGED TEXT H Y P O T H E S I Z I N G U N T A G G E D T E X T W O R D A S S O C I A T I O N F R O M Tomoyoshi Matsukawa B B N S y s t e m s a n d T e c h n o l o[.] ...

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Are word association responses really the first words that come to mind?

Are word association responses really the first words that come to mind?

... Word association tasks typically allow participants plenty of time in which to generate their responses, and are commonly presented as pen and paper measures so reaction time data is not ...a word ...

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Word Association Profiles and their Use for Automated Scoring of Essays

Word Association Profiles and their Use for Automated Scoring of Essays

... million word types and of 1,279 million word type pairs are efficiently com- pressed using the TrendStream technology (Flor, 2013), resulting in a database file of ...large word n-gram datasets. We ...

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Abstract and Concrete Concepts According to Word Association

Abstract and Concrete Concepts According to Word Association

... each word association pair to one of the following "classes" based on the relationship between its cue and target (see Appendix B): categorical, entity-based, introspective, lexical, or ...contained ...

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Word Association Norms, Mutual Information, and Lexicography

Word Association Norms, Mutual Information, and Lexicography

... The , proposed measure, the association ratio, estimates word association norms directly from computer readable corpora, waki,~g it possible to estimate norms for tens of thousands of wo[r] ...

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Wan2Vec: Embeddings Learned on Word Association Norms | www.semantic-web-journal.net

Wan2Vec: Embeddings Learned on Word Association Norms | www.semantic-web-journal.net

... Abstract. Word embeddings are powerful for many tasks in natural language ...learn word embeddings using weighted graphs from word association norms (WAN) with the node2vec ...quality ...

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Exploring Human Gender Stereotypes with Word Association Test

Exploring Human Gender Stereotypes with Word Association Test

... gender-specific word in word association graph is activated, its influ- ence will propagate along graph edges and form gender ...gender-neutral word will receive imbalanced gender information, ...

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Lexical Co occurrence, Statistical Significance, and Word Association

Lexical Co occurrence, Statistical Significance, and Word Association

... detecting word associations. We propose a new measure of word association based on a new notion of statistical significance for lex- ical ...candidate word-pair) and ask if the distribution of ...

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Word Association Norms, Mutual Information, and Lexicography

Word Association Norms, Mutual Information, and Lexicography

... Kenneth Church and Patrick Hanks Word Association Norms, Mutual Information, and Lexicography.. 1988 " A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text," Second Co[r] ...

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Investigating the role of implicit processes regarding fatigue using a word association test

Investigating the role of implicit processes regarding fatigue using a word association test

... is word association. In a word association test, a respondent is given a word as a stimulus, to which he/she has to respond with the first word that comes in his/her ...2006). ...

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SWOW 8500: Word Association task for Intrinsic Evaluation of Word Embeddings

SWOW 8500: Word Association task for Intrinsic Evaluation of Word Embeddings

... pretrained word embeddings is expensive, more so for tasks where current state of the art models are very large ...ing word similarity or analogy datasets, on the other hand, suffers from several disad- ...

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Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

... We evaluate a suite of pre-trained vector space mod- els readily accessible online. We note that these models typically use different training data and other additional resources, and have a varying cov- erage of the ...

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Predicting Word Association Strengths

Predicting Word Association Strengths

... several word association datasets ex- ist, such as the Edinburgh Associative Thesaurus (EAT, Kiss et ...Free Association Norms (USF, Nelson et ...possible word pairs is ...dict ...

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Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics

Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics

... is to obtain such data through the analysis of ref- erence language data with NLP techniques. The use of data-based inductive methods for automat- ically measuring the similarity between words is one of the key task in ...

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Establishing the reliability of word association data for investigating individual and group differences

Establishing the reliability of word association data for investigating individual and group differences

... cue word, and counting up how many times each response was ...different word form as a different response (so that walk is different to walked or walking or walker), while others group such responses ...

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Word Association and MI Trigger based Language Modeling

Word Association and MI Trigger based Language Modeling

... It is found that proper MI-Trigger modeling is superior to word bigram model and the DD MI-Trigger models have better performance than the DI MI-Trigger models for the same window size..[r] ...

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COGNITIVE STRUCTURES OF MUSIC TEACHER CANDIDATES ABOUT “VOICE TRAINING”

COGNITIVE STRUCTURES OF MUSIC TEACHER CANDIDATES ABOUT “VOICE TRAINING”

... Free word association test has been used as the data collection ...stimulus word -voice training- was chosen and presented to music teacher candidates through a free word association ...

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Determining Cognitive Structures and Alternative Conceptions on the Concept of Reproduction (The Case of Pre Service Biology Teachers)

Determining Cognitive Structures and Alternative Conceptions on the Concept of Reproduction (The Case of Pre Service Biology Teachers)

... independent word association test (Ad & Demirci, 2012; Dove, Everett, & Preece, 1999; Ercan & Tasdere, 2010; Koseoglu & Bayir, 2011; Kurt, 2013), structured grid, diagnostic tree, con- cept ...

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