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 |
| Other contributor: |
Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta
University of Helsinki, Faculty of Science Helsingfors universitet, Matematisk-naturvetenskapliga fakulteten |
| Publisher: | Helsingin yliopisto |
| Date: | 2019 |
| Language: | eng |
| URI: |
http://urn.fi/URN:NBN:fi:hulib-202001211119
http://hdl.handle.net/10138/310006 |
| Thesis level: | master's thesis |
| Discipline: | Tietojenkäsittelytiede |
| 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. |
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