Ahmed, T;
Bulathwela, S;
(2022)
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts.
In:
Proceedings of the PASIR’22: First Workshop on Proactive and Agent-Supported Information Retrieval at CIKM 2022.
(pp. pp. 1-12).
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Abstract
Extracting useful information from the user history to clearly understand informational needs is a crucial feature of a proactive information retrieval system. Regarding understanding information and relevance, Wikipedia can provide the background knowledge that an intelligent system needs. This work explores how exploiting the context of a query using Wikipedia concepts can improve proactive information retrieval on noisy text. We formulate two models that use entity linking to associate Wikipedia topics with the relevance model. Our experiments around a podcast segment retrieval task demonstrate that there is a clear signal of relevance in Wikipedia concepts while a ranking model can improve precision by incorporating them. We also find Wikifying the background context of a query can help disambiguate the meaning of the query, further helping proactive information retrieval.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts |
| Event: | PASIR’22: First Workshop on Proactive and Agent-Supported Information Retrieval at CIKM 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ceur-ws.org/Vol-3318/paper10.pdf |
| Language: | English |
| Additional information: | © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10167893 |
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