Acquisition of anecdotes from the web for free conversation systems

A free conversation system that can talk freely with users gives computers human-like qualities that can enrich our daily lives. This paper proposes a method to automatically acquire anecdotes from various people on the Internet as a source of knowledge to be accessed by free conversation systems. F...

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Main Authors: Shirai, Kiyoaki, Fukuoka, Tomotaka
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/11850/
http://journalarticle.ukm.my/11850/1/18747-64018-1-PB.pdf
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author Shirai, Kiyoaki
Fukuoka, Tomotaka
author_facet Shirai, Kiyoaki
Fukuoka, Tomotaka
author_sort Shirai, Kiyoaki
building UKM Institutional Repository
collection Online Access
description A free conversation system that can talk freely with users gives computers human-like qualities that can enrich our daily lives. This paper proposes a method to automatically acquire anecdotes from various people on the Internet as a source of knowledge to be accessed by free conversation systems. Firstly, passages that are related to a given person are retrieved by searching the relevant web pages. Secondly, each page is segmented and then, thirdly, each passage is judged as to whether it is an anecdote by applying several rules based on the linguistic features of the anecdotes. The experimental results showed that the precision of our method was increased by 25% when compared to the baseline.
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spelling oai:generic.eprints.org:118502018-07-10T00:16:52Z http://journalarticle.ukm.my/11850/ Acquisition of anecdotes from the web for free conversation systems Shirai, Kiyoaki Fukuoka, Tomotaka A free conversation system that can talk freely with users gives computers human-like qualities that can enrich our daily lives. This paper proposes a method to automatically acquire anecdotes from various people on the Internet as a source of knowledge to be accessed by free conversation systems. Firstly, passages that are related to a given person are retrieved by searching the relevant web pages. Secondly, each page is segmented and then, thirdly, each passage is judged as to whether it is an anecdote by applying several rules based on the linguistic features of the anecdotes. The experimental results showed that the precision of our method was increased by 25% when compared to the baseline. Penerbit Universiti Kebangsaan Malaysia 2017-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11850/1/18747-64018-1-PB.pdf Shirai, Kiyoaki and Fukuoka, Tomotaka (2017) Acquisition of anecdotes from the web for free conversation systems. Asia-Pacific Journal of Information Technology and Multimedia, 6 (2). pp. 13-22. ISSN 2289-2192 http://ejournals.ukm.my/apjitm/issue/view/1050
spellingShingle Shirai, Kiyoaki
Fukuoka, Tomotaka
Acquisition of anecdotes from the web for free conversation systems
title Acquisition of anecdotes from the web for free conversation systems
title_full Acquisition of anecdotes from the web for free conversation systems
title_fullStr Acquisition of anecdotes from the web for free conversation systems
title_full_unstemmed Acquisition of anecdotes from the web for free conversation systems
title_short Acquisition of anecdotes from the web for free conversation systems
title_sort acquisition of anecdotes from the web for free conversation systems
url http://journalarticle.ukm.my/11850/
http://journalarticle.ukm.my/11850/
http://journalarticle.ukm.my/11850/1/18747-64018-1-PB.pdf