Results 251 to 260 of about 623,633 (264)
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2019
Another idea related to the non-linear construction of n-grams, i.e., using distinct elements or distinct order of their appearance in a text, is the idea of replacing words by their synonyms or by the generalized concepts that correspond to the words according to a certain ontology.
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Another idea related to the non-linear construction of n-grams, i.e., using distinct elements or distinct order of their appearance in a text, is the idea of replacing words by their synonyms or by the generalized concepts that correspond to the words according to a certain ontology.
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2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2010
This paper presents a novel supposition, One Sense Per N-gram (N>1), which we believe is appropriate for more linguistic phenomena and can serve as a general version instead of the celebrated One Sense Per Collocation supposition, at least in Chinese language.
PengYuan Liu +4 more
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This paper presents a novel supposition, One Sense Per N-gram (N>1), which we believe is appropriate for more linguistic phenomena and can serve as a general version instead of the celebrated One Sense Per Collocation supposition, at least in Chinese language.
PengYuan Liu +4 more
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Proceedings of the 7th ACM international conference on Web search and data mining, 2014
We propose a Bayesian nonparametric topic model that rep- resents relationships between given labels and the corre- sponding words/phrases, from supervised articles. Unlike existing supervised topic models, our proposal, supervised N-gram topic model (SNT), focuses on both a number of topics and power-law distribution in the word frequencies to extract
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We propose a Bayesian nonparametric topic model that rep- resents relationships between given labels and the corre- sponding words/phrases, from supervised articles. Unlike existing supervised topic models, our proposal, supervised N-gram topic model (SNT), focuses on both a number of topics and power-law distribution in the word frequencies to extract
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2011
As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. Anomaly detection capabilities can be used in theft detection, remote elder-care monitoring systems, and many other applications.
Senaka Buthpitiya +3 more
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As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. Anomaly detection capabilities can be used in theft detection, remote elder-care monitoring systems, and many other applications.
Senaka Buthpitiya +3 more
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Identifying sentiments over N-gram
Proceedings of the 21st International Conference on World Wide Web, 2012Our proposal, identifying sentiment over N-gram (ISN) focuses on both word order and phrases, and the interdependency between specific rating and corresponding sentiment in a text to detect subjective information.
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Syntactic n-grams: The Concept
2019As we have already mentioned, the main idea of the formal features applicable in computational linguistics is related to the vector space model and the use of n-grams as features in this space, which also includes unigrams, i.e., words. The words are considered in the contexts. Usually, it is neighbor words. But some words that have syntactic relations
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Speech recognition using particle n-grams and content-word n-grams
3rd European Conference on Speech Communication and Technology (Eurospeech 1993), 1993Ryosuke Isotani, Shigeki Sagayama
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Part-of-speech n-gram and word n-gram fused language model
6th European Conference on Speech Communication and Technology, 1999Hirofumi Yamamoto, Yoshinori Sagisaka
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