Information Retrieval with Finnish Case Law Embeddings
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http://urn.fi/URN:NBN:fi:hulib-202001211119| Titel: | Information Retrieval with Finnish Case Law Embeddings |
| Författare: | Sarsa, Sami |
| Medarbetare: |
Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta
University of Helsinki, Faculty of Science Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten |
| Utgivare: | Helsingin yliopisto |
| Datum: | 2019 |
| Språk: | eng |
| Permanenta länken (URI): |
http://urn.fi/URN:NBN:fi:hulib-202001211119
http://hdl.handle.net/10138/310006 |
| Nivå: | pro gradu-avhandlingar |
| Ämne: | Tietojenkäsittelytiede |
| Abstrakt: | 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. |
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| Filer | Storlek | Format | Granska |
|---|---|---|---|
| grappa-gradu.pdf | 1.863Mb | Granska/Öppna |