Article

Query based event extraction along a timeline

Authors:

Hai Leong Chieu,

Yoong Keok LeeAuthors Info & Claims

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 425 - 432

https://doi.org/10.1145/1008992.1009065

Published: 25 July 2004 Publication History

Abstract

In this paper, we present a framework and a system that extracts events relevant to a query from a collection C of documents, and places such events along a timeline. Each event is represented by a sentence extracted from C, based on the assumption that "important" events are widely cited in many documents for a period of time within which these events are of interest. In our experiments, we used queries that are event types ("earthquake") and person names (e.g. "George Bush"). Evaluation was performed using G8 leader names as queries: comparison made by human evaluators between manually and system generated timelines showed that although manually generated timelines are on average more preferable, system generated timelines are sometimes judged to be better than manually constructed ones.

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Cited By

Hsu TChin LHuang YChen YSerra ESpezzano F(2024)PIECE: Protagonist Identification and Event Chronology Extraction for Enhanced Timeline SummarizationProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679723(870-879)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679723
Sojitra DJain RSaha SJatowt AGupta MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Timeline Summarization in the Era of LLMsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657899(2657-2661)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657899
You JLi DKamigaito HFunakoshi KOkumura M(2023)Joint Learning-based Heterogeneous Graph Attention Network for Timeline SummarizationJournal of Natural Language Processing10.5715/jnlp.30.18430:1(184-214)Online publication date: 2023
https://doi.org/10.5715/jnlp.30.184
Show More Cited By

Index Terms

Query based event extraction along a timeline
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

July 2004

624 pages

ISBN:1581138814

DOI:10.1145/1008992

General Chair:
Mark Sanderson
University of Sheffield (UK)
,
Program Chairs:
Kalervo Järvelin
University of Tampere (Finland)
,
James Allan
University of Massachusetts (USA)
,
Peter Bruza
Distributed Systems Technology Centre (Australia)

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 July 2004

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SIGIR04

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SIGIR04: The 27th ACM/SIGIR International Symposium on Information Retrieval 2004

July 25 - 29, 2004

Sheffield, United Kingdom

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

Hsu TChin LHuang YChen YSerra ESpezzano F(2024)PIECE: Protagonist Identification and Event Chronology Extraction for Enhanced Timeline SummarizationProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679723(870-879)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1145/3627673.3679723
Sojitra DJain RSaha SJatowt AGupta MHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)Timeline Summarization in the Era of LLMsProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657899(2657-2661)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657899
You JLi DKamigaito HFunakoshi KOkumura M(2023)Joint Learning-based Heterogeneous Graph Attention Network for Timeline SummarizationJournal of Natural Language Processing10.5715/jnlp.30.18430:1(184-214)Online publication date: 2023
https://doi.org/10.5715/jnlp.30.184
Liu MZhang MLiu JDai HYang MJi SFeng ZGong BOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)Video timeline modeling for news story understandingProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3667352(28294-28310)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3667352
Jones SKlein MWeigle MNelson M(2023)Summarizing Web Archive Corpora via Social Media Storytelling by Automatically Selecting and Visualizing ExemplarsACM Transactions on the Web10.1145/360603018:1(1-48)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1145/3606030
Keith Norambuena BMitra TNorth C(2023)A Survey on Event-Based News Narrative ExtractionACM Computing Surveys10.1145/358474155:14s(1-39)Online publication date: 17-Jul-2023
https://dl.acm.org/doi/10.1145/3584741
Chen XLi MGao SChan ZZhao DGao XZhang XYan R(2023)Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological OrderACM Transactions on Information Systems10.1145/351722141:1(1-30)Online publication date: 9-Jan-2023
https://dl.acm.org/doi/10.1145/3517221
DeBuse MWarnick S(2023)Plot extraction and the visualization of narrative flowNatural Language Engineering10.1017/S1351324923000232(1-45)Online publication date: 23-May-2023
https://doi.org/10.1017/S1351324923000232
Yadav ARanvijay Yadav RMaurya A(2023)State-of-the-art approach to extractive text summarization: a comprehensive reviewMultimedia Tools and Applications10.1007/s11042-023-14613-982:19(29135-29197)Online publication date: 16-Feb-2023
https://doi.org/10.1007/s11042-023-14613-9
Kalamkar PVenugopalan JRaghavan V(2023)Benchmarks for Indian Legal NLP: A SurveyNew Frontiers in Artificial Intelligence10.1007/978-3-031-36190-6_3(33-48)Online publication date: 19-Jul-2023
https://doi.org/10.1007/978-3-031-36190-6_3
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