CLSep 14, 2018
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks
arXiv:1809.05219v114 citations
Originality Synthesis-oriented
AI Analysis
This work addresses the problem of automating legal document analysis for legal professionals, but it is incremental as it matches rather than surpasses existing methods.
The paper tackles automatic catchphrase extraction from legal case documents by using deep neural networks for scoring, achieving comparable performance to systems that rely on corpus-wide and citation information without using such data.
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.