Personal Research Assistant for Online Exploration of Historical News

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http://hdl.handle.net/10138/317692

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Pivovarova , L , Jean-Caurant , A , Avikainen , J , Alnajjar , K , Granroth-Wilding , M , Leppänen , L , Zosa , E & Toivonen , H 2020 , Personal Research Assistant for Online Exploration of Historical News . in Advances in Information Retrieval : 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II . Lecture Notes in Computer Science , Springer , Cham , 42nd European Conference on IR Research , Lisbon , Portugal , 14/04/2020 . https://doi.org/10.1007/978-3-030-45442-5_62

Title: Personal Research Assistant for Online Exploration of Historical News
Author: Pivovarova, Lidia; Jean-Caurant, Axel; Avikainen, Jari; Alnajjar, Khalid; Granroth-Wilding, Mark; Leppänen, Leo; Zosa, Elaine; Toivonen, Hannu
Other contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Discovery Research Group/Prof. Hannu Toivonen
University of Helsinki, Discovery Research Group/Prof. Hannu Toivonen
University of Helsinki, Department of Computer Science


Publisher: Springer
Date: 2020
Language: eng
Belongs to series: Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II
Belongs to series: Lecture Notes in Computer Science
ISBN: 978-3-030-45441-8
978-3-030-45442-5
DOI: https://doi.org/10.1007/978-3-030-45442-5_62
URI: http://hdl.handle.net/10138/317692
Abstract: We present a novel environment for exploratory search in large collections of historical newspapers developed as a part of the News- Eye project. In this paper we focus on the intelligent Personal Research Assistant (PRA) component in the environment and the web interface. The PRA is an interactive exploratory engine that combines results of various text analysis tools in an unsupervised fashion to conduct au- tonomous investigations on the data according to users’ needs. The PRA is freely available online together with some datasets of European his- torical newspapers. The methods used by the assistant are of potential benefit to other exploratory search applications.
Subject: 113 Computer and information sciences
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