Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Karn, Saurabh"'
Autor:
Tiwari, Aman, Kalamkar, Prathamesh, Banerjee, Atreyo, Karn, Saurabh, Hemachandran, Varun, Gupta, Smita
Using proprietary Large Language Models on legal tasks poses challenges due to data privacy issues, domain data heterogeneity, domain knowledge sophistication, and domain objectives uniqueness. We created Aalalp, a fine-tuned Mistral 7B model on inst
Externí odkaz:
http://arxiv.org/abs/2402.01758
Autor:
Modi, Ashutosh, Kalamkar, Prathamesh, Karn, Saurabh, Tiwari, Aman, Joshi, Abhinav, Tanikella, Sai Kiran, Guha, Shouvik Kumar, Malhan, Sachin, Raghavan, Vivek
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal documents. To promote research in the area of Legal NLP we organized
Externí odkaz:
http://arxiv.org/abs/2304.09548
Autor:
Kalamkar, Prathamesh, Agarwal, Astha, Tiwari, Aman, Gupta, Smita, Karn, Saurabh, Raghavan, Vivek
Identification of named entities from legal texts is an essential building block for developing other legal Artificial Intelligence applications. Named Entities in legal texts are slightly different and more fine-grained than commonly used named enti
Externí odkaz:
http://arxiv.org/abs/2211.03442
Autor:
Kalamkar, Prathamesh, Tiwari, Aman, Agarwal, Astha, Karn, Saurabh, Gupta, Smita, Raghavan, Vivek, Modi, Ashutosh
In populous countries, pending legal cases have been growing exponentially. There is a need for developing techniques for processing and organizing legal documents. In this paper, we introduce a new corpus for structuring legal documents. In particul
Externí odkaz:
http://arxiv.org/abs/2201.13125