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Paper Abstract and Keywords
Presentation 2018-07-07 10:20
Estimating Trivia Score for Trivia Sentence Extraction
Kazuya Niina, Kazutaka Shimada (KIT) NLC2018-7
Abstract (in Japanese) (See Japanese page) 
(in English) Dialogue systems have been increasingly important these days.
In particular, non-task-oriented dialogue systems have been studied because of the success of neural network approaches such as seq2seq models.
However, these models tend to generate simple responses such as "yes" and "ok."
To construct a dialogue system that holds user's attention continuously, we need to generate utterances that capture the interest of the user.
In this paper, we propose a method to extract trivia sentences for the purpose.
Trivia information perhaps adds a surprise to users.
Therefore, capturing trivia information is beneficial for dialogue systems.
We estimate a trivia score of a sentence by using machine learning approaches.
We obtained 0.81 on the $nDCG@10$ score by a ranking method.
Keyword (in Japanese) (See Japanese page) 
(in English) Trivia / Estimating Trivia Score / Machine Learning / Learn to Rank / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 122, NLC2018-7, pp. 69-74, July 2018.
Paper # NLC2018-7 
Date of Issue 2018-06-29 (NLC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee NLC IPSJ-ICS  
Conference Date 2018-07-06 - 2018-07-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Application of natural language processing and intelligent systems, and general topic of NLP 
Paper Information
Registration To NLC 
Conference Code 2018-07-NLC-ICS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimating Trivia Score for Trivia Sentence Extraction 
Sub Title (in English)  
Keyword(1) Trivia  
Keyword(2) Estimating Trivia Score  
Keyword(3) Machine Learning  
Keyword(4) Learn to Rank  
1st Author's Name Kazuya Niina  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Kazutaka Shimada  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2018-07-07 10:20:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2018-7 
Volume (vol) vol.118 
Number (no) no.122 
Page pp.69-74 
Date of Issue 2018-06-29 (NLC) 

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