6 citations · 13 across the 6 of their papers we have counts for
9 papers
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…