Search Results for author: Tanik Saikh

Found 9 papers, 2 papers with code

A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference

no code implementations LREC 2022 Dibyanayan Bandyopadhyay, Arkadipta De, Baban Gain, Tanik Saikh, Asif Ekbal

We perform experiments on English-Hindi language pairs in the cross-lingual setting to find out that our novel loss formulation could enhance the performance of the baseline model by up to 2%.

Cross-Lingual Natural Language Inference RTE +1

Novelty Detection: A Perspective from Natural Language Processing

no code implementations CL (ACL) 2022 Tirthankar Ghosal, Tanik Saikh, Tameesh Biswas, Asif Ekbal, Pushpak Bhattacharyya

In this work, we build upon our earlier investigations for document-level novelty detection and present a comprehensive account of our efforts toward the problem.

Natural Language Inference Novelty Detection

COVIDRead: A Large-scale Question Answering Dataset on COVID-19

no code implementations5 Oct 2021 Tanik Saikh, Sovan Kumar Sahoo, Asif Ekbal, Pushpak Bhattacharyya

This dataset creates a new avenue of carrying out research on COVID-19 by providing a benchmark dataset and a baseline model.

Question Answering

IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT

1 code implementation17 Apr 2021 Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh, Asif Ekbal

We make use of different Information Retrieval(IR) and deep learning based approaches to tackle these problems.

Information Retrieval Retrieval

A Deep Learning Approach for Automatic Detection of Fake News

1 code implementation ICON 2019 Tanik Saikh, Arkadipta De, Asif Ekbal, Pushpak Bhattacharyya

We evaluate our techniques on the two recently released datasets, namely FakeNews AMT and Celebrity for fake news detection.

Fake News Detection Feature Engineering

ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension

no code implementations LREC 2020 Tanik Saikh, Asif Ekbal, Pushpak Bhattacharyya

We present ScholarlyRead, span-of-word-based scholarly articles{'} Reading Comprehension (RC) dataset with approximately 10K manually checked passage-question-answer instances.

Question Answering Reading Comprehension

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