Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Shirai, Kiyoaki, Fukuoka, Tomotaka
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/11850/1/18747-64018-1-PB.pdf
http://journalarticle.ukm.my/11850/
http://ejournals.ukm.my/apjitm/issue/view/1050
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-ukm.journal.11850
record_format eprints
spelling my-ukm.journal.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
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
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.
format Article
author Shirai, Kiyoaki
Fukuoka, Tomotaka
spellingShingle Shirai, Kiyoaki
Fukuoka, Tomotaka
Acquisition of anecdotes from the web for free conversation systems
author_facet Shirai, Kiyoaki
Fukuoka, Tomotaka
author_sort Shirai, Kiyoaki
title Acquisition of anecdotes from the web for free conversation systems
title_short 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_sort acquisition of anecdotes from the web for free conversation systems
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2017
url http://journalarticle.ukm.my/11850/1/18747-64018-1-PB.pdf
http://journalarticle.ukm.my/11850/
http://ejournals.ukm.my/apjitm/issue/view/1050
_version_ 1643738620888088576
score 13.211869

Similar Items