21 citations · 34 across the 6 of their papers we have counts for
6 papers
When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
Sandeep Kumar, Yash Kamdar, Abid Hossain +3
Scientific peer reviews frequently contain conflicting expert judgments, and the increasing scale of conference submissions makes it challenging for Area Chairs and editors to reli…
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
Tanik Saikh, Sovan Kumar Sahoo, Asif Ekbal +1
During this pandemic situation, extracting any relevant information related to COVID-19 will be immensely beneficial to the community at large. In this paper, we present a very imp…
IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task
Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De +2
In this article, we present a description of our systems as a part of our participation in the shared task namely Artificial Intelligence for Legal Assistance (AILA 2019). This is…
IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT
Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh +1
Natural Language Processing (NLP) and Information Retrieval (IR) in the judicial domain is an essential task. With the advent of availability domain-specific data in electronic for…
A Deep Learning Approach for Automatic Detection of Fake News
Tanik Saikh, Arkadipta De, Asif Ekbal +1
Fake news detection is a very prominent and essential task in the field of journalism. This challenging problem is seen so far in the field of politics, but it could be even more c…
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh +1
This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019) shared task. We participated in all the three task…