Automatic summarization of legal case judgements has traditionally been attempted by
using extractive summarization methods. However, in recent years, abstractive …

Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …

Answer assessment is a critical aspect of various fields including education, artificial
intelligence, and natural language processing. This paper aims to provide a comprehensive …

This study investigates judgment prediction in a realistic scenario within the context of Indian
judgments, utilizing a range of transformer-based models, including InLegalBERT, BERT …

Question Generation (QG) is an essential area in Natural Language Processing (NLP) that
aims to create questions from a given text. This paper reviews the evolution of QG methods …

Automatic question generation is a critical task that involves evaluating question quality by
considering factors such as engagement, pedagogical value, and the ability to stimulate …

Software Engineering (SE) contracts are a valuable source of software requirements. Seed
requirements derived from SE contracts can provide a starting point to the Requirements …

Code generation by Llama 3.1 models, such as Meta's Llama 3.1 405B, represents a
significant advancement in the field of artificial intelligence, particularly in natural language …

Sentence boundary detection (SBD) represents an important first step in natural language
processing since accurately identifying sentence boundaries significantly impacts …

Abstract The field of Artificial Intelligence & Law is a community of law and computer science
scholars, with a focus on AI applications for the law and law enforcement. Such applications …