13 citations · 42 across the 14 of their papers we have counts for
15 papers
Read, Extract, Classify: A Tool for Smarter Requirements Engineering
Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirements engineering, enhancing the software development life-cycle. The tool…
Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
Gunjan Das, Paheli Bhattacharya, Rishabh Gupta
Large Language Models (LLMs) have revolutionized both general natural language processing and domain-specific applications such as code synthesis, legal reasoning, and finance. How…
Adapting Small Language Models to Low-Resource Domains: A Case Study in Hindi Tourism QA
Sandipan Majhi, Paheli Bhattacharya
Domain-specific question answering in low-resource languages faces two key challenges: scarcity of annotated datasets and limited domain knowledge in general-purpose language model…
ReXCL: A Tool for Requirement Document Extraction and Classification
Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirement engineering, enhancing the software development lifecycle. The tool f…
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents
Purbid Bambroo, Subinay Adhikary, Paheli Bhattacharya +3
Identification of rhetorical roles like facts, arguments, and final judgments is central to understanding a legal case document and can lend power to other downstream tasks like le…
Selective Shot Learning for Code Explanation
Paheli Bhattacharya, Rishabh Gupta
Code explanation plays a crucial role in the software engineering domain, aiding developers in grasping code functionality efficiently. Recent work shows that the performance of LL…
Exploring Large Language Models for Code Explanation
Paheli Bhattacharya, Manojit Chakraborty, Kartheek N S N Palepu +4
Automating code documentation through explanatory text can prove highly beneficial in code understanding. Large Language Models (LLMs) have made remarkable strides in Natural Langu…
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Abhay Shukla, Paheli Bhattacharya, Soham Poddar +4
Summarization of legal case judgement documents is a challenging problem in Legal NLP. However, not much analyses exist on how different families of summarization models (e.g., ext…
Legal Case Document Similarity: You Need Both Network and Text
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1
Estimating the similarity between two legal case documents is an important and challenging problem, having various downstream applications such as prior-case retrieval and citation…
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra +2
Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this…
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1
Computing similarity between two legal case documents is an important and challenging task in Legal IR, for which text-based and network-based measures have been proposed in litera…
Methods for Computing Legal Document Similarity: A Comparative Study
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1
Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval. Finding similar legal documents has many applica…
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments
Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh +2
Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summari…
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval
Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple languages in the Web. One of the s…
Evolution of the Modern Phase of Written Bangla: A Statistical Study
Paheli Bhattacharya, Arnab Bhattacharya
Active languages such as Bangla (or Bengali) evolve over time due to a variety of social, cultural, economic, and political issues. In this paper, we analyze the change in the writ…