maastrichtlawtech/gdsr
🕸️ A graph-augmented dense statute retriever. (EACL 2023)
This tool helps legal professionals and citizens efficiently find relevant statute law articles for a given legal question. You provide a legal query or question, and it returns the specific legal articles that are most pertinent. This is designed for anyone needing to quickly identify applicable laws, such as lawyers, paralegals, or individuals seeking basic legal guidance.
No commits in the last 6 months.
Use this if you need to precisely locate specific statutory articles related to a legal question, especially when the legal context relies heavily on how laws are interconnected.
Not ideal if you are looking for general legal information or broad legal research that doesn't require pinpointing specific articles within structured legislation.
Stars
25
Forks
6
Language
Python
License
MIT
Category
Last pushed
Sep 26, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/maastrichtlawtech/gdsr"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ymcui/cmrc2018
A Span-Extraction Dataset for Chinese Machine Reading Comprehension (CMRC 2018)
princeton-nlp/DensePhrases
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval...
thunlp/MultiRD
Code and data of the AAAI-20 paper "Multi-channel Reverse Dictionary Model"
IndexFziQ/KMRC-Papers
A list of recent papers regarding knowledge-based machine reading comprehension.
danqi/rc-cnn-dailymail
CNN/Daily Mail Reading Comprehension Task