Retrieval of semantically similar Philippine Supreme Court case decisions using Doc2Vec

• Main Authors: Ranera, Lorenz Timothy Barco, Solano, Geoffrey A., Oco, Nathaniel
• Format: text
• Published: Animo Repository 2019
• Subjects: Computational linguistics; Law reports, digests, etc. > Philippines; Philippines. Supreme Court; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2528; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3527/type/native/viewcontent
• Institution: De La Salle University

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.