Results 211 to 220 of about 42,408 (263)
A multi-level feature enhancement framework for named entity recognition in power system texts. [PDF]
Sci RepWei Z +5 more
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Cyberattack event and arguments extraction based on feature interaction and few-shot learning. [PDF]
Sci RepHan Y, Han W, Li A, Li S.
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Risk factor identification for large scale amusement facilities using mixture of experts and fusion of multiple models. [PDF]
Sci RepHao S, Xing L, Zhang M.
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Proceedings of the 15th international conference on World Wide Web, 2006
A video blogging system has been developed for easily producing your own video programs that can be made available to the public in much the same way that blogs are created. The user merely types a program script on a webpage, the same as creating a blog, selects a direction style, and pastes in some additional material content to create a CG-based ...
Narichika Hamaguchi +3 more
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A video blogging system has been developed for easily producing your own video programs that can be made available to the public in much the same way that blogs are created. The user merely types a program script on a webpage, the same as creating a blog, selects a direction style, and pastes in some additional material content to create a CG-based ...
Narichika Hamaguchi +3 more
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2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012
LDA (Latent Dirichlet Allocation) topic model has been applied into many applications in recent years. But LDA has a shortcoming that it cannot deal with various changes of data set well, which has become a limitation for its applications. Hierarchical Latent Dirichlet Allocation (hLDA) is a generalization of LDA and it can adapt itself to the growing ...
Ping'an Liu +3 more
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LDA (Latent Dirichlet Allocation) topic model has been applied into many applications in recent years. But LDA has a shortcoming that it cannot deal with various changes of data set well, which has become a limitation for its applications. Hierarchical Latent Dirichlet Allocation (hLDA) is a generalization of LDA and it can adapt itself to the growing ...
Ping'an Liu +3 more
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36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, 2003
Document retrieval in languages with a rich and complex morphology - particularly in terms of derivation and (single-word) composition - suffers from serious performance degradation with the stemming-only query-term-to-text-word-matching paradigm. We propose an alternative approach in which morphologically complex word forms are segmented into relevant
Udo Hahn +2 more
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Document retrieval in languages with a rich and complex morphology - particularly in terms of derivation and (single-word) composition - suffers from serious performance degradation with the stemming-only query-term-to-text-word-matching paradigm. We propose an alternative approach in which morphologically complex word forms are segmented into relevant
Udo Hahn +2 more
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Tracking with text-based messages
IEEE Intelligent Systems, 1999As an initial research prototype, TextTrack demonstrates the feasibility of applying multiple hypothesis tracking concepts from radar signal processing to natural-language text tracking and correlation problems.
Carlos Alberola-López +1 more
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Morphology based text compression
2010 IEEE 18th Signal Processing and Communications Applications Conference, 2010With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language ...
GÖKSU, Hayriye, DİRİ, Banu
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Software: Practice and Experience, 1989
AbstractThe development of efficient algorithms to support arithmetic coding has meant that powerful models of text can now be used for data compression. Here the implementation of models based on recognizing and recording words is considered. Move‐to‐the‐front and several variable‐order Markov models have been tested with a number of different data ...
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AbstractThe development of efficient algorithms to support arithmetic coding has meant that powerful models of text can now be used for data compression. Here the implementation of models based on recognizing and recording words is considered. Move‐to‐the‐front and several variable‐order Markov models have been tested with a number of different data ...
openaire +1 more source