8 citations · 36 across the 12 of their papers we have counts for
13 papers
Generative AI for Software Metadata: Overview of the Information Retrieval in Software Engineering Track at FIRE 2023
Srijoni Majumdar, Soumen Paul, Debjyoti Paul +5
The Information Retrieval in Software Engineering (IRSE) track aims to develop solutions for automated evaluation of code comments in a machine learning framework based on human an…
Named Entity Recognition Based Automatic Generation of Research Highlights
Tohida Rehman, Debarshi Kumar Sanyal, Prasenjit Majumder +1
A scientific paper is traditionally prefaced by an abstract that summarizes the paper. Recently, research highlights that focus on the main findings of the paper have emerged as a…
Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
Thomas Mandl, Sandip Modha, Gautam Kishore Shahi +8
The widespread of offensive content online such as hate speech poses a growing societal problem. AI tools are necessary for supporting the moderation process at online platforms. F…
LawSum: A weakly supervised approach for Indian Legal Document Summarization
Vedant Parikh, Vidit Mathur, Parth Mehta +2
Unlike the courts in western countries, public records of Indian judiciary are completely unstructured and noisy. No large scale publicly available annotated datasets of Indian leg…
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandla, Sandip Modha, Gautam Kishore Shahi +5
With the growth of social media, the spread of hate speech is also increasing rapidly. Social media are widely used in many countries. Also Hate Speech is spreading in these countr…
An Empirical Evaluation of Text Representation Schemes on Multilingual Social Web to Filter the Textual Aggression
Sandip Modha, Prasenjit Majumder
This paper attempt to study the effectiveness of text representation schemes on two tasks namely: User Aggression and Fact Detection from the social media contents. In User Aggress…
Exploiting local and global performance of candidate systems for aggregation of summarization techniques
Parth Mehta, Prasenjit Majumder
With an ever growing number of extractive summarization techniques being proposed, there is less clarity then ever about how good each system is compared to the rest. Several studi…
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data
Parth Mehta, Gaurav Arora, Prasenjit Majumder
In this work, we present a weakly supervised sentence extraction technique for identifying important sentences in scientific papers that are worthy of inclusion in the abstract. We…
Content based Weighted Consensus Summarization
Parth Mehta, Prasenjit Majumder
Multi-document summarization has received a great deal of attention in the past couple of decades. Several approaches have been proposed, many of which perform equally well and it…
Re-evaluating the need for Modelling Term-Dependence in Text Classification Problems
Sounak Banerjee, Prasenjit Majumder, Mandar Mitra
A substantial amount of research has been carried out in developing machine learning algorithms that account for term dependence in text classification. These algorithms offer acce…
A comparative study of approaches in user-centered health information retrieval
Harsh Thakkar, Ganesh Iyer, Prasenjit Majumder
In this paper, we survey various user-centered or context-based biomedical health information retrieval systems. We present and discuss the performance of systems submitted in CLEF…
Formal Ontology Learning on Factual IS-A Corpus in English using Description Logics
Sourish Dasgupta, Ankur Padia, Kushal Shah +1
Ontology Learning (OL) is the computational task of generating a knowledge base in the form of an ontology given an unstructured corpus whose content is in natural language (NL). S…
DLOLIS-A: Description Logic based Text Ontology Learning
Sourish Dasgupta, Ankur Padia, Kushal Shah +2
Ontology Learning has been the subject of intensive study for the past decade. Researchers in this field have been motivated by the possibility of automatically building a knowledg…