Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

Tuan A. Tran; Claudia Niederee; Nattiya Kanhabua; Ujwal Gadiraju; Avishek Anand

doi:10.1145/2806416.2806486

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

Tuan A. Tran, Claudia Niederee, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

Originalsprog	Engelsk
Titel	Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Antal sider	10
Udgivelsessted	New York, NY, USA
Forlag	Association for Computing Machinery
Publikationsdato	2015
Sider	1201-1210
ISBN (Trykt)	978-1-4503-3794-6
DOI	https://doi.org/10.1145/2806416.2806486
Status	Udgivet - 2015
Udgivet eksternt	Ja

Emneord

entity retrieval, learning to rank, news, temporal ranking, timeline summarization, wikipedia

Adgang til dokumentet

10.1145/2806416.2806486

http://doi.acm.org/10.1145/2806416.2806486

AUB Link

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Citationsformater

Tran, T. A., Niederee, C., Kanhabua, N., Gadiraju, U., & Anand, A. (2015). Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. I Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (s. 1201-1210). Association for Computing Machinery. https://doi.org/10.1145/2806416.2806486

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author = "Tran, {Tuan A.} and Claudia Niederee and Nattiya Kanhabua and Ujwal Gadiraju and Avishek Anand",

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Tran, TA, Niederee, C, Kanhabua, N, Gadiraju, U & Anand, A 2015, Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. i Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. Association for Computing Machinery, New York, NY, USA, s. 1201-1210. https://doi.org/10.1145/2806416.2806486

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. / Tran, Tuan A.; Niederee, Claudia; Kanhabua, Nattiya et al.
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. New York, NY, USA: Association for Computing Machinery, 2015. s. 1201-1210.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Bidrag til bog/antologi › Forskning › peer review

TY - CHAP

T1 - Balancing Novelty and Salience

T2 - Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

AU - Tran, Tuan A.

AU - Niederee, Claudia

AU - Kanhabua, Nattiya

AU - Gadiraju, Ujwal

AU - Anand, Avishek

PY - 2015

Y1 - 2015

KW - entity retrieval, learning to rank, news, temporal ranking, timeline summarization, wikipedia

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M3 - Book chapter

SN - 978-1-4503-3794-6

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EP - 1210

BT - Proceedings of the 24th ACM International on Conference on Information and Knowledge Management

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ER -

Tran TA, Niederee C, Kanhabua N, Gadiraju U, Anand A. Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. I Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. New York, NY, USA: Association for Computing Machinery. 2015. s. 1201-1210 doi: 10.1145/2806416.2806486