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1
HokuMed in NTCIR-11 MedNLP2:Automatic extraction of medical complaints from Japanese health records using machine learning and rule-based methods.
In: http://arakilab.media.eng.hokudai.ac.jp/%7Earaki/2014/2014-A-6.pdf (2014)
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2
A Casual Conversation System Using Modality and Word Associations Retrieved from the Web
In: http://www.aclweb.org/anthology/D08-1040/ (2008)
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3
A dynamic memory management system based on forgetting and recalling
In: http://sig.media.eng.hokudai.ac.jp/~ptaszynski/data/2007_11_SHIBU_Forget_recall.pdf (2007)
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4
Automatic First Utterance Creation Based on the Strongest Association Retrieved from WWW
In: http://www-kasm.nii.ac.jp/jsai2005/schedule/pdf/000245.pdf (2005)
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5
cs.kitami-it.ac.jp
In: http://www.aclweb.org/anthology/W/W14/W14-2610.pdf
Abstract: ist.hokudai.ac.jp In this research we focus on discriminat-ing between emotive (emotionally loaded) and non-emotive sentences. We define the problem from a linguistic point of view as-suming that emotive sentences stand out both lexically and grammatically. We verify this assumption experimentally by comparing two sets of such sentences in Japanese. The comparison is based on words, longer n-grams as well as more so-phisticated patterns. In the classification we use a novel unsupervised learning algo-rithm based on the idea of language com-binatorics. The method reached results comparable to the state of the art, while the fact that it is fully automatic makes it more efficient and language independent. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.4088
http://www.aclweb.org/anthology/W/W14/W14-2610.pdf
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6
Effective Analysis of Emotiveness in Utterances Based on Features of Lexical and Non-Lexical Layer of Speech.
In: http://sig.media.eng.hokudai.ac.jp/~ptaszynski/data/2008_03_NLP_Analysis_of_Emotiveness.pdf
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7
Toward Automatic Support For Japanese Lay Judge System – – Processing Precedent Factors For Sentencing Trends Discovery
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C4/MuST-F/08-NTCIR7-MuST-F-RzepkaR.pdf
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8
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
In: http://www.aclweb.org/anthology-new/W/W12/W12-3714.pdf
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9
4 Connectives Acquisition in a Humanoid Robot Based on an Inductive Learning Language Acquisition Model
In: http://cdn.intechweb.org/pdfs/6235.pdf
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10
15+ MILLION TOP 1% MOST CITED SCIENTIST 12.2% AUTHORS AND EDITORS FROM TOP 500 UNIVERSITIES 4 Connectives Acquisition in a Humanoid Robot Based on an Inductive Learning Language Acquisition Model
In: http://cdn.intechopen.com/pdfs-wm/6235.pdf
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11
Commonsense Retrieval as an Aid for Easier Conversation-based Language Acquisition
In: http://arakilab.media.eng.hokudai.ac.jp/~araki/2005(e)/2005-A-5.pdf
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12
Engagement
In: http://arakilab.media.eng.hokudai.ac.jp/~araki/2011/2011-A-7.pdf
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13
Blog Snippets Based Drug Effects Extraction System Using Lexical and Grammatical Restrictions
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