Web as Corpus Supporting Natural Language Generation for Online River information Communication

Xiwu Han; Antonio Ioris; Chenghua Lin

doi:10.1145/2740908.2745938

Web as Corpus Supporting Natural Language Generation for Online River information Communication

Xiwu Han, Antonio Ioris, Chenghua Lin

Computing Science

University of Edinburgh

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

Abstract

Web as corpus for NLP has been popular, and we now employed web as corpus for NLG, and made the online communication of tailored river information more effective and efficient. Evaluation and analysis shows that our generated texts were comparable to those written by domain experts and experienced users.

Original language	English
Title of host publication	WebScience Track at The 24th International World Wide Web Conference (WWW)
Publisher	ACM
Pages	363-364
Number of pages	2
ISBN (Print)	978-1-4503-3473-0/15/05
DOIs	https://doi.org/10.1145/2740908.2745938
Publication status	Published - 2015
Event	24th International World Wide Web Conference - Florence, Italy Duration: 18 May 2015 → 22 May 2015

Conference

Conference	24th International World Wide Web Conference
Country/Territory	Italy
City	Florence
Period	18/05/15 → 22/05/15

Bibliographical note

This research is supported by an award from the RCUK DE programme: EP/G066051/1.

Keywords

web
Corpus
NLP
NLG
river information communication

Access to Document

10.1145/2740908.2745938Licence: Unspecified

http://www.www2015.it/documents/proceedings/companion/p363.pdf

Cite this

@inproceedings{41db3d8f4806467ba98177eeff44ec09,

title = "Web as Corpus Supporting Natural Language Generation for Online River information Communication",

abstract = "Web as corpus for NLP has been popular, and we now employed web as corpus for NLG, and made the online communication of tailored river information more effective and efficient. Evaluation and analysis shows that our generated texts were comparable to those written by domain experts and experienced users.",

keywords = "web , Corpus, NLP, NLG, river information communication",

author = "Xiwu Han and Antonio Ioris and Chenghua Lin",

note = "This research is supported by an award from the RCUK DE programme: EP/G066051/1.; 24th International World Wide Web Conference ; Conference date: 18-05-2015 Through 22-05-2015",

year = "2015",

doi = "10.1145/2740908.2745938",

language = "English",

isbn = "978-1-4503-3473-0/15/05",

pages = "363--364",

booktitle = "WebScience Track at The 24th International World Wide Web Conference (WWW)",

publisher = "ACM",

}

TY - GEN

T1 - Web as Corpus Supporting Natural Language Generation for Online River information Communication

AU - Han, Xiwu

AU - Ioris, Antonio

AU - Lin, Chenghua

N1 - This research is supported by an award from the RCUK DE programme: EP/G066051/1.

PY - 2015

Y1 - 2015

N2 - Web as corpus for NLP has been popular, and we now employed web as corpus for NLG, and made the online communication of tailored river information more effective and efficient. Evaluation and analysis shows that our generated texts were comparable to those written by domain experts and experienced users.

AB - Web as corpus for NLP has been popular, and we now employed web as corpus for NLG, and made the online communication of tailored river information more effective and efficient. Evaluation and analysis shows that our generated texts were comparable to those written by domain experts and experienced users.

KW - web

KW - Corpus

KW - NLP

KW - NLG

KW - river information communication

U2 - 10.1145/2740908.2745938

DO - 10.1145/2740908.2745938

M3 - Published conference contribution

SN - 978-1-4503-3473-0/15/05

SP - 363

EP - 364

BT - WebScience Track at The 24th International World Wide Web Conference (WWW)

PB - ACM

T2 - 24th International World Wide Web Conference

Y2 - 18 May 2015 through 22 May 2015

ER -

Web as Corpus Supporting Natural Language Generation for Online River information Communication

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this