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Toward comprehensive event collections

  • Federico Nanni
  • Simone Paolo Ponzetto
  • Laura Dietz
Article

Abstract

Web archives, such as the Internet Archive, preserve an unprecedented abundance of materials regarding major events and transformations in our society. In this paper, we present an approach for building event-centric sub-collections from such large archives, which includes not only the core documents related to the event itself but, even more importantly, documents describing related aspects (e.g., premises and consequences). This is achieved by identifying relevant concepts and entities from a knowledge base, and then detecting their mentions in documents, which are interpreted as indicators for relevance. We extensively evaluate our system on two diachronic corpora, the New York Times Corpus and the US Congressional Record; additionally, we test its performance on the TREC KBA Stream Corpus and on the TREC-CAR dataset, two publicly available large-scale web collections.

Keywords

Event collections Named events Collection building Entity query expansion Web archives 

Notes

Acknowledgements

This work was funded by a scholarship of the Eliteprogramm for Postdocs of the Baden-Württemberg Stiftung (project “Knowledge Consolidation and Organization for Query-specific Wikipedia Construction”) and by an AWS Research Award (Promotional credits name: EDU_R_FY2015_Q3_MannheimUniversity_Dietz). Furthermore, this work was also supported by the Junior-professor funding program of the Ministry of Science, Research and the Arts of the state of Baden-Württemberg (project “Deep semantic models for high-end NLP application”).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Federico Nanni
    • 1
  • Simone Paolo Ponzetto
    • 1
  • Laura Dietz
    • 2
  1. 1.Data and Web Science GroupUniversity of MannheimMannheimGermany
  2. 2.Department of Computer ScienceUniversity of New HampshireDurhamUSA

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