maastrichtlawtech/fusion
🔗 Hybrid retrieval in the legal domain
This helps legal professionals efficiently find relevant documents by combining different search techniques. You input a legal query, and it returns highly relevant legal texts from a large collection, helping you cut through vast amounts of information. Legal researchers, paralegals, and lawyers who work with French legal documents would find this particularly useful.
No commits in the last 6 months.
Use this if you need to improve the accuracy and relevance of search results for legal queries in French, especially when using pre-trained general language models.
Not ideal if your existing legal search models are already highly specialized and performant within your specific domain, as combining them might not always yield better results.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Oct 01, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/maastrichtlawtech/fusion"
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