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A burstiness-aware approach for document dating

Published: 03 July 2014 Publication History

Abstract

A large number of mainstream applications, like temporal search, event detection, and trend identification, assume knowledge of the timestamp of every document in a given textual collection. In many cases, however, the required timestamps are either unavailable or ambiguous. A charac- teristic instance of this problem emerges in the context of large repositories of old digitized documents. For such doc- uments, the timestamp may be corrupted during the digiti- zation process, or may simply be unavailable. In this paper, we study the task of approximating the timestamp of a doc- ument, so-called document dating. We propose a content- based method and use recent advances in the domain of term burstiness, which allow it to overcome the drawbacks of pre- vious document dating methods, e.g. the fix time partition strategy. We use an extensive experimental evaluation on different datasets to validate the efficacy and advantages of our methodology, showing that our method outperforms the state of the art methods on document dating.

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Cited By

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  • (2023)BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal InformationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591686(812-821)Online publication date: 19-Jul-2023
  • (2021)The automatic approach for scientific papers dating2021 Ivannikov Ispras Open Conference (ISPRAS)10.1109/ISPRAS53967.2021.00020(107-113)Online publication date: Dec-2021
  • (2020)Identifying breakthrough scientific papersInformation Processing and Management: an International Journal10.1016/j.ipm.2019.10216857:2Online publication date: 1-Mar-2020
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    cover image ACM Conferences
    SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
    July 2014
    1330 pages
    ISBN:9781450322577
    DOI:10.1145/2600428
    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: 03 July 2014

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    Author Tags

    1. burstiness
    2. language models
    3. temporal similarity

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    SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    View all
    • (2023)BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal InformationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591686(812-821)Online publication date: 19-Jul-2023
    • (2021)The automatic approach for scientific papers dating2021 Ivannikov Ispras Open Conference (ISPRAS)10.1109/ISPRAS53967.2021.00020(107-113)Online publication date: Dec-2021
    • (2020)Identifying breakthrough scientific papersInformation Processing and Management: an International Journal10.1016/j.ipm.2019.10216857:2Online publication date: 1-Mar-2020
    • (2020)Innovativeness Analysis of Scholarly Publications by Age Prediction Using Ordinal RegressionComputational Science – ICCS 202010.1007/978-3-030-50417-5_48(646-660)Online publication date: 15-Jun-2020
    • (2019)Gaussian Normalization: Handling Burstiness in Visual Data2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)10.1109/AVSS.2019.8909857(1-8)Online publication date: Sep-2019
    • (2019)Dating medieval texts by classification with flexible time intervalsDigital Scholarship in the Humanities10.1093/llc/fqz03135:2(459-470)Online publication date: 18-Jun-2019
    • (2017)Interactive System for Reasoning about Document AgeProceedings of the 2017 ACM on Conference on Information and Knowledge Management10.1145/3132847.3133166(2471-2474)Online publication date: 6-Nov-2017
    • (2017)Dating texts by multi-class classification with sliding time intervals2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)10.1109/CISP-BMEI.2017.8302102(1-6)Online publication date: Oct-2017
    • (2017)A Concept Driven Graph Based Approach for Estimating the Focus Time of a DocumentMining Intelligence and Knowledge Exploration10.1007/978-3-319-71928-3_25(250-260)Online publication date: 28-Nov-2017
    • (2016)Estimating Time Models for News Article ExcerptsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983802(781-790)Online publication date: 24-Oct-2016
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