Modelling sequential text with an adaptive topic model

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Original languageEnglish
Title of host publication2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference
EditorsJames Henderson, Marius Pasca
Place of PublicationStroudsburg PA USA
PublisherAssociation for Computational Linguistics
Pages535 - 545
Number of pages11
ISBN (Print)9781937284435
Publication statusPublished - 2012
Externally publishedYes
EventJoint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 2012 - Jeju Island, Korea, Republic of (South)
Duration: 12 Jul 201214 Jul 2012
https://dl.acm.org/citation.cfm?id=2390948&picked=prox (ACM Conference Proceedings)

Conference

ConferenceJoint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 2012
Abbreviated titleEMNLP-CoNLL 2012
CountryKorea, Republic of (South)
CityJeju Island
Period12/07/1214/07/12
Internet address

Cite this

Du, L., Buntine, W. L., & Jin, H. (2012). Modelling sequential text with an adaptive topic model. In J. Henderson, & M. Pasca (Eds.), 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference (pp. 535 - 545). Stroudsburg PA USA: Association for Computational Linguistics.
Du, Lan ; Buntine, Wray Lindsay ; Jin, Huidong. / Modelling sequential text with an adaptive topic model. 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. editor / James Henderson ; Marius Pasca. Stroudsburg PA USA : Association for Computational Linguistics, 2012. pp. 535 - 545
@inproceedings{34fac46354584d349d9be0b3b5d2ae75,
title = "Modelling sequential text with an adaptive topic model",
author = "Lan Du and Buntine, {Wray Lindsay} and Huidong Jin",
year = "2012",
language = "English",
isbn = "9781937284435",
pages = "535 -- 545",
editor = "James Henderson and Marius Pasca",
booktitle = "2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference",
publisher = "Association for Computational Linguistics",

}

Du, L, Buntine, WL & Jin, H 2012, Modelling sequential text with an adaptive topic model. in J Henderson & M Pasca (eds), 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. Association for Computational Linguistics, Stroudsburg PA USA, pp. 535 - 545, Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 2012, Jeju Island, Korea, Republic of (South), 12/07/12.

Modelling sequential text with an adaptive topic model. / Du, Lan; Buntine, Wray Lindsay; Jin, Huidong.

2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. ed. / James Henderson; Marius Pasca. Stroudsburg PA USA : Association for Computational Linguistics, 2012. p. 535 - 545.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

TY - GEN

T1 - Modelling sequential text with an adaptive topic model

AU - Du, Lan

AU - Buntine, Wray Lindsay

AU - Jin, Huidong

PY - 2012

Y1 - 2012

M3 - Conference Paper

SN - 9781937284435

SP - 535

EP - 545

BT - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference

A2 - Henderson, James

A2 - Pasca, Marius

PB - Association for Computational Linguistics

CY - Stroudsburg PA USA

ER -

Du L, Buntine WL, Jin H. Modelling sequential text with an adaptive topic model. In Henderson J, Pasca M, editors, 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. Stroudsburg PA USA: Association for Computational Linguistics. 2012. p. 535 - 545