Information Retrieval with Finnish Case Law Embeddings

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http://urn.fi/URN:NBN:fi:hulib-202001211119
Title: Information Retrieval with Finnish Case Law Embeddings
Author: Sarsa, Sami
Contributor: University of Helsinki, Faculty of Science
Publisher: Helsingin yliopisto
Date: 2019
URI: http://urn.fi/URN:NBN:fi:hulib-202001211119
http://hdl.handle.net/10138/310006
Thesis level: master's thesis
Abstract: In this work, five text vectorisation models' capability in embedding Finnish case law texts to vector space for inter-textual similarity computation is studied. The embeddings and their computed similarities are used to create a Finnish case law retrieval system that allows effective querying with full documents. A working web application is presented as a part of the work. The case law data for the work is provided by the Finnish Ministry of Justice, and the studied models are: TF-IDF, LDA, Word2Vec, Doc2Vec and Doc2vecC.
Discipline: Tietojenkäsittelytiede


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