Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks

Abstract

In this paper, we present a method of automatic catchphrase extracting from legal case documents. We utilize deep neural networks for constructing scoring model of our extraction system. We achieve comparable performance with systems using corpus-wide and citation information which we do not use in our system.

arXiv commentMIning and REasoning with Legal text, MIREL 2018

References in corpus (1)

• A Convolutional Neural Network for Modelling Sentences

Cited by in corpus (1)

• Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval