Retrieval of semantically similar Philippine Supreme Court case decisions using Doc2Vec
College
College of Computer Studies
Department/Unit
Computer Science
Document Type
Conference Proceeding
Source Title
2019 International Symposium on Multimedia and Communication Technology, ISMAC 2019
Publication Date
8-1-2019
Abstract
Drafting a case decision is an intensive task for lower court judges which may be a factor in the case backlogs problem of the Philippine judiciary. The search for similar Philippine Supreme Court case decisions is a common task done manually in the trial setting in order to support the decision of the judge. Doc2Vec, a common document embedding technique in NLP, and cosine similarity are implemented in order to automatically retrieve semantically similar case decisions. The model shows to have an accuracy of 80% and exhibits a strong positive correlation with the similarity scores of a legal domain expert. © 2019 IEEE.
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Digitial Object Identifier (DOI)
10.1109/ISMAC.2019.8836165
Recommended Citation
Ranera, L. B., Solano, G. A., & Oco, N. (2019). Retrieval of semantically similar Philippine Supreme Court case decisions using Doc2Vec. 2019 International Symposium on Multimedia and Communication Technology, ISMAC 2019 https://doi.org/10.1109/ISMAC.2019.8836165
Disciplines
Computer Sciences
Keywords
Computational linguistics; Law reports, digests, etc.--Philippines; Philippines. Supreme Court
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