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Mateusz Babieno; Masashi Takeshita; Dusan Radisavljevic; Rafal Rzepka; Kenji Araki (1)
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Simple Search
Hits 1 – 14 of 14
1
MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions
Mateusz Babieno; Masashi Takeshita; Dusan Radisavljevic; Rafal Rzepka; Kenji Araki
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.
Magnus Ahltorp
;
Hideyuki Tanushi
;
Shiho Kitajima
...
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
Shinsuke Higuchi
;
Rafal Rzepka
;
Kenji Araki
In: http://www.aclweb.org/anthology/D08-1040/ (2008)
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4
A dynamic memory management system based on forgetting and recalling
Michal Ptaszynski
;
Koichi Sayama
;
Rafal Rzepka
...
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
Rafal Rzepka
;
Kenji Araki
In: http://www-kasm.nii.ac.jp/jsai2005/schedule/pdf/000245.pdf (2005)
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6
cs.kitami-it.ac.jp
Michal Ptaszynski
;
Fumito Masui
;
Rafal Rzepka
...
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.
Michal Ptaszynski
;
Pawel Dybala
;
Rafal Rzepka
;
Kenji Araki
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
Rafal Rzepka
;
Masafumi Matsuhara
;
Yasutomo Kimura
...
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
Michal Ptaszynski
;
Rafal Rzepka
;
Kenji Araki
...
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
Dai Hasegawa
;
Rafal Rzepka
;
Kenji Araki
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
Dai Hasegawa
;
Rafal Rzepka
;
Kenji Araki
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
Rafal Rzepka
;
Kenji Araki
In: http://arakilab.media.eng.hokudai.ac.jp/~araki/2005(e)/2005-A-5.pdf
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13
Engagement
Michal Mazur
;
Rafal Rzepka
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
Shiho Kitajima
;
Rafal Rzepka
;
Kenji Araki
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