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

Disciplines

Computer Sciences

Keywords

Computational linguistics; Law reports, digests, etc.--Philippines; Philippines. Supreme Court

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