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Tanik Saikh
Tanik Saikh
Post Doctoral Researcher, L3S Research Center, Former Ph.D. Student, Indian Institute of Technology
Verified email at iitp.ac.in
Title
Cited by
Cited by
Year
Automatic Author Profiling Based on Linguistic and Stylistic Features—Notebook for PAN at CLEF 2013
BG Patra, S Banerjee, D Das, T Saikh, S Bandyopadhyay
PAN 2013, 2013
33*2013
A deep learning approach for automatic detection of fake news
T Saikh, A De, A Ekbal, P Bhattacharyya
arXiv preprint arXiv:2005.04938, 2020
252020
A novel approach towards fake news detection: deep learning augmented with textual entailment features
T Saikh, A Anand, A Ekbal, P Bhattacharyya
International Conference on Applications of Natural Language to Information …, 2019
242019
English to Indian languages machine transliteration system at NEWS 2010
A Das, T Saikh, T Mondal, A Ekbal, S Bandyopadhyay
Proceedings of the 2010 Named Entities Workshop, 71-75, 2010
192010
IITP@ COLIEE 2019: legal information retrieval using BM25 and BERT
B Gain, D Bandyopadhyay, T Saikh, A Ekbal
arXiv preprint arXiv:2104.08653, 2021
102021
Shared task system description: Measuring the Compositionality of Bigrams using Statistical Methodologies
T Chakraborty, S Pal, T Mondal, T Saikh, S Bandyopadhyay
Proceedings of the Workshop on Distributional Semantics and Compositionality …, 2011
102011
JU_NLP@ DPIL-FIRE2016: Paraphrase Detection in Indian Languages-A Machine Learning Approach
T Saikh, SK Naskar, S Bandyopadhyay
82016
Textual entailment using different similarity metrics
T Saikh, SK Naskar, C Giri, S Bandyopadhyay
International Conference on Intelligent Text Processing and Computational …, 2015
82015
Predicting Source Gaze Fixation Duration: A Machine Learning Approach
T Saikh, S Bangalore, M Carl, S Bandyopadhyay
International Conference on Cognitive Computing and Information Processing, 2015
82015
A Deep Transfer Learning Approach for Fake News Detection
PB Tanik Saikh, B. Haripriya, Asif Ekbal
International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
62020
Iitp at aila 2019: System report for artificial intelligence for legal assistance shared task
B Gain, D Bandyopadhyay, A De, T Saikh, A Ekbal
arXiv preprint arXiv:2105.11347, 2021
52021
Iitp at mediqa 2019: Systems report for natural language inference, question entailment and question answering
D Bandyopadhyay, B Gain, T Saikh, A Ekbal
arXiv preprint arXiv:1906.06332, 2019
52019
Textual entailment using machine translation evaluation metrics
T Saikh, SK Naskar, A Ekbal, S Bandyopadhyay
International Conference on Computational Linguistics and Intelligent Text …, 2017
52017
COVIDRead: A Large-scale Question Answering Dataset on COVID-19
T Saikh, SK Sahoo, A Ekbal, P Bhattacharyya
arXiv preprint arXiv:2110.09321, 2021
42021
Iitp in coliee@ icail 2019: Legal information retrieval using bm25 and bert
B Gain, D Bandyopadhyay, T Saikh, A Ekbal
Competition on Legal Information Extraction/Entailment, 2019
42019
Document level novelty detection: textual entailment lends a helping hand
T Saikh, T Ghosal, A Ekbal, P Bhattacharyya
Proceedings of the 14th International Conference on Natural Language …, 2017
42017
Novelty Detection: A Perspective from Natural Language Processing
T Ghosal, T Saikh, T Biswas, A Ekbal, P Bhattacharyya
Computational Linguistics 48 (1), 77-117, 2022
32022
ScholarlyRead: A new dataset for scientific article reading comprehension
T Saikh, A Ekbal, P Bhattacharyya
Proceedings of The 12th Language Resources and Evaluation Conference, 5498-5504, 2020
32020
A Neural Framework for English-Hindi Cross-Lingual Natural Language Inference
T Saikh, A De, D Bandyopadhyay, B Gain, A Ekbal
International Conference on Neural Information Processing, 655-667, 2020
12020
ScienceQA: a novel resource for question answering on scholarly articles
T Saikh, T Ghosal, A Mittal, A Ekbal, P Bhattacharyya
International Journal on Digital Libraries 23 (3), 289-301, 2022
2022
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