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 Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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