Information Retrieval with Finnish Case Law Embeddings

Helda

dc.contributor	Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta	fi
dc.contributor	University of Helsinki, Faculty of Science	en
dc.contributor	Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten	sv
dc.contributor.author	Sarsa, Sami
dc.date.issued	2019
dc.identifier.uri	URN:NBN:fi:hulib-202001211119
dc.identifier.uri	http://hdl.handle.net/10138/310006
dc.description.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.	en
dc.language.iso	eng
dc.publisher	Helsingin yliopisto	fi
dc.publisher	University of Helsinki	en
dc.publisher	Helsingfors universitet	sv
dc.title	Information Retrieval with Finnish Case Law Embeddings	en
dc.type.ontasot	pro gradu -tutkielmat	fi
dc.type.ontasot	master's thesis	en
dc.type.ontasot	pro gradu-avhandlingar	sv
dc.subject.discipline	Tietojenkäsittelytiede	und
dct.identifier.urn	URN:NBN:fi:hulib-202001211119

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