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1
MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
In: Applied Sciences; Volume 12; Issue 4; Pages: 2081 (2022)
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2
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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3
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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4
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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5
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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6
cs.kitami-it.ac.jp
In: http://www.aclweb.org/anthology/W/W14/W14-2610.pdf
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7
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
Abstract: We propose a highly effective method of analysis of emotiveness in utterances, which clearly outperforms present ones. The method is based on analysis of emotive features of the lexical layer of user's utterances and is supported by analysis of non-lexical emotive features conveyed in text. The system based on this method acquired 93 % of accuracy in recognizing emotiveness of user’s utterances and was able to propose emotive value and extract specific emotion on a level comparable to human evaluators.
Keyword: analysis of emotiveness; Emotiveness
URL: http://sig.media.eng.hokudai.ac.jp/~ptaszynski/data/2008_03_NLP_Analysis_of_Emotiveness.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.4227
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8
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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9
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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10
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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11
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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12
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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13
Engagement
In: http://arakilab.media.eng.hokudai.ac.jp/~araki/2011/2011-A-7.pdf
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14
Blog Snippets Based Drug Effects Extraction System Using Lexical and Grammatical Restrictions
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