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

arXiv: https://arxiv.org/abs/1809.05219 · HTML: https://mlsanity.com/paper/1809.05219/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Sep 2018.

## Built on by (most cited first, 3 of 3)

- [Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval](https://mlsanity.com/paper/2309.08187/) (2023)
- [Automated Argument Generation from Legal Facts](https://mlsanity.com/paper/2310.05680/) (2023)
- [Annotating Topical Legal Insights from Case Proceedings](https://mlsanity.com/paper/2607.27792/) (2026)

## Abstract (arXiv)

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.