Pith. sign in

REVIEW 1 cited by

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1809.05219 v1 pith:XX3DXP4R submitted 2018-09-14 cs.CL

Vu Tran , Minh Le Nguyen , Ken Satoh This is my paper
classification cs.CL
keywords automaticcasecatchphrasedeepdocumentsextractionlegalnetworks
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original 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.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Annotating Topical Legal Insights from Case Proceedings

    cs.AI 2026-07 conditional novelty 3.0 of 10

    LeDA is a legal annotation tool with dynamic tag creation and adjudication, used to tag 200 Indian Supreme Court cases with thematic concepts like 'Murder on parole.'

Pith tools