| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Textual complexity as an indicator of document relevance |
| Authors: | Taranova, Anastasia Braschler, Martin |
| et. al: | No |
| DOI: | 10.1007/978-3-030-72240-1_42 |
| Proceedings: | Advances in Information Retrieval |
| Page(s): | 410 |
| Pages to: | 417 |
| Conference details: | 43rd European Conference on Information Retrieval, Lucca (online), 28 March - 1 April 2021 |
| Issue Date: | 2021 |
| Series: | Lecture Notes in Computer Science |
| Series volume: | 12657 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-72239-5 978-3-030-72240-1 |
| Language: | English |
| Subjects: | Information retrieval; Textual complexity; Document relevance |
| Subject (DDC): | 020: Library and information sciences |
| Abstract: | We study the textual complexity of documents as an aspect of the Information Retrieval process that influences retrieval effectiveness. Our experiments show that in many cases user queries allow determining which linguistic competency level best suits an underlying information need. The paper investigates promising first approaches on how to do so automatically and compares them to an idealistic baseline. By filtering out documents of unexpected textual complexity, we find improved search results mainly when using precision-oriented effectiveness measures. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/24429 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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Taranova, A., & Braschler, M. (2021). Textual complexity as an indicator of document relevance [Conference paper]. Advances in Information Retrieval, 410–417. https://doi.org/10.1007/978-3-030-72240-1_42
Taranova, A. and Braschler, M. (2021) ‘Textual complexity as an indicator of document relevance’, in Advances in Information Retrieval. Cham: Springer, pp. 410–417. Available at: https://doi.org/10.1007/978-3-030-72240-1_42.
A. Taranova and M. Braschler, “Textual complexity as an indicator of document relevance,” in Advances in Information Retrieval, 2021, pp. 410–417. doi: 10.1007/978-3-030-72240-1_42.
TARANOVA, Anastasia und Martin BRASCHLER, 2021. Textual complexity as an indicator of document relevance. In: Advances in Information Retrieval. Conference paper. Cham: Springer. 2021. S. 410–417. ISBN 978-3-030-72239-5
Taranova, Anastasia, and Martin Braschler. 2021. “Textual Complexity as an Indicator of Document Relevance.” Conference paper. In Advances in Information Retrieval, 410–17. Cham: Springer. https://doi.org/10.1007/978-3-030-72240-1_42.
Taranova, Anastasia, and Martin Braschler. “Textual Complexity as an Indicator of Document Relevance.” Advances in Information Retrieval, Springer, 2021, pp. 410–17, https://doi.org/10.1007/978-3-030-72240-1_42.
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