Skip to main content

2024 | OriginalPaper | Buchkapitel

Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review

verfasst von : Hitarth Narvala, Graham McDonald, Iadh Ounis

Erschienen in: Advances in Information Retrieval

Verlag: Springer Nature Switzerland

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Many government documents contain sensitive (e.g. personal or confidential) information that must be protected before the documents can be released to the public. However, reviewing documents to identify sensitive information is a complex task, which often requires analysing multiple related documents that mention a particular context of sensitivity. For example, coherent information about evolving events, such as legal proceedings, is often dispersed across documents produced at different times. In this paper, we present a novel system for sensitivity review, which automatically identifies hierarchical information threads to capture diverse aspects of an event. In particular, our system aims to assist sensitivity reviewers in making accurate sensitivity judgements efficiently by presenting hierarchical information threads that provide coherent and chronological information about an event’s evolution. Through a user study, we demonstrate our system’s effectiveness in improving the sensitivity reviewers’ reviewing speed and accuracy compared to the traditional document-by-document review process.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Abualsaud, M., Ghelani, N., Zhang, H., Smucker, M.D., Cormack, G.V., Grossman, M.R.: A system for efficient high-recall retrieval. In: Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1317–1320 (2018). https://doi.org/10.1145/3209978.3210176 Abualsaud, M., Ghelani, N., Zhang, H., Smucker, M.D., Cormack, G.V., Grossman, M.R.: A system for efficient high-recall retrieval. In: Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1317–1320 (2018). https://​doi.​org/​10.​1145/​3209978.​3210176
2.
Zurück zum Zitat Damessie, T.T., Scholer, F., Culpepper, J.S.: The influence of topic difficulty, relevance level, and document ordering on relevance judging. In: Proceedings of the 21st Australasian Document Computing Symposium, pp. 41–48 (2016). https://doi.org/10.1145/3015022.3015033 Damessie, T.T., Scholer, F., Culpepper, J.S.: The influence of topic difficulty, relevance level, and document ordering on relevance judging. In: Proceedings of the 21st Australasian Document Computing Symposium, pp. 41–48 (2016). https://​doi.​org/​10.​1145/​3015022.​3015033
5.
Zurück zum Zitat Narvala, H., McDonald, G., Ounis, I.: Receptor: a platform for exploring latent relations in sensitive documents. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2161–2164 (2020). https://doi.org/10.1145/3397271.3401407 Narvala, H., McDonald, G., Ounis, I.: Receptor: a platform for exploring latent relations in sensitive documents. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2161–2164 (2020). https://​doi.​org/​10.​1145/​3397271.​3401407
7.
Zurück zum Zitat Narvala, H., McDonald, G., Ounis, I.: The role of latent semantic categories and clustering in enhancing the efficiency of human sensitivity review. In: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval, pp. 56–66 (2022). https://doi.org/10.1145/3498366.3505824 Narvala, H., McDonald, G., Ounis, I.: The role of latent semantic categories and clustering in enhancing the efficiency of human sensitivity review. In: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval, pp. 56–66 (2022). https://​doi.​org/​10.​1145/​3498366.​3505824
8.
Zurück zum Zitat Narvala, H., McDonald, G., Ounis, I.: Sensitivity review of large collections by identifying and prioritising coherent documents groups. In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, pp. 4931–4935 (2022). https://doi.org/10.1145/3511808.3557182 Narvala, H., McDonald, G., Ounis, I.: Sensitivity review of large collections by identifying and prioritising coherent documents groups. In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, pp. 4931–4935 (2022). https://​doi.​org/​10.​1145/​3511808.​3557182
13.
Zurück zum Zitat Vo, N.P.A., Guillot, F., Privault, C.: DISCO: a system leveraging semantic search in document review. In: Proceedings of the 26th International Conference on Computational Linguistics, pp. 64–68 (2016). https://aclanthology.org/C16-2014 Vo, N.P.A., Guillot, F., Privault, C.: DISCO: a system leveraging semantic search in document review. In: Proceedings of the 26th International Conference on Computational Linguistics, pp. 64–68 (2016). https://​aclanthology.​org/​C16-2014
Metadaten
Titel
Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review
verfasst von
Hitarth Narvala
Graham McDonald
Iadh Ounis
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-56069-9_29

Premium Partner