Manish Shrivastava
Cited by
Cited by
A dataset of Hindi-English code-mixed social media text for hate speech detection
A Bohra, D Vijay, V Singh, SS Akhtar, M Shrivastava
Proceedings of the second workshop on computational modeling of people’s …, 2018
Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text
A Joshi, A Prabhu, M Shrivastava, V Varma
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Together we stand: Siamese networks for similar question retrieval
A Das, H Yenala, M Chinnakotla, M Shrivastava
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Iiit-h system submission for fire2014 shared task on transliterated search
IA Bhat, V Mujadia, A Tammewar, RA Bhat, M Shrivastava
Proceedings of the 6th Annual Meeting of the Forum for Information Retrieval …, 2014
Morphological richness offsets resource poverty-an experience in building a pos tagger for hindi
K Gupta, M Shrivastava, S Singh, P Bhattacharyya
Proceedings of ACL-COLING, 2006
Hindi POS tagger using naive stemming: harnessing morphological information without extensive linguistic knowledge
M Shrivastava, P Bhattacharyya
International Conference on NLP (ICON08), Pune, India, 2008
Shallow Parsing Pipeline for Hindi-English Code-Mixed Social Media Text
A Sharma, S Gupta, R Motlani, P Bansal, M Srivastava, R Mamidi, ...
NAACl-HLT, 2016
FERMI at SemEval-2019 task 5: Using sentence embeddings to identify hate speech against immigrants and women in Twitter
V Indurthi, B Syed, M Shrivastava, N Chakravartula, M Gupta, V Varma
Proceedings of the 13th international workshop on semantic evaluation, 70-74, 2019
Named entity recognition for Hindi-English code-mixed social media text
V Singh, D Vijay, SS Akhtar, M Shrivastava
Proceedings of the seventh named entities workshop, 27-35, 2018
Degree based classification of harmful speech using twitter data
S Sharma, S Agrawal, M Shrivastava
arXiv preprint arXiv:1806.04197, 2018
" Answer ka type kya he?" Learning to Classify Questions in Code-Mixed Language
KC Raghavi, MK Chinnakotla, M Shrivastava
Proceedings of the 24th International Conference on World Wide Web, 853-858, 2015
Universal Dependency parsing for Hindi-English code-switching
IA Bhat, RA Bhat, M Shrivastava, DM Sharma
North American Chapter of the Association for Computational Linguistics …, 2018
Implementation of fruit fly optimization algorithm (FFOA) to escalate the attacking efficiency of node capture attack in wireless sensor networks (WSN)
R Bhatt, P Maheshwary, P Shukla, P Shukla, M Shrivastava, S Changlani
Computer Communications 149, 134-145, 2020
De-mixing sentiment from code-mixed text
YK Lal, V Kumar, M Dhar, M Shrivastava, P Koehn
Proceedings of the 57th annual meeting of the association for computational …, 2019
Enabling code-mixed translation: Parallel corpus creation and MT augmentation approach
M Dhar, V Kumar, M Shrivastava
Proceedings of the First Workshop on Linguistic Resources for Natural …, 2018
A corpus of english-hindi code-mixed tweets for sarcasm detection
S Swami, A Khandelwal, V Singh, SS Akhtar, M Shrivastava
arXiv preprint arXiv:1805.11869, 2018
Towards deep learning in hindi ner: An approach to tackle the labelled data scarcity
V Athavale, S Bharadwaj, M Pamecha, A Prabhu, M Shrivastava
arXiv preprint arXiv:1610.09756, 2016
Gender prediction in english-hindi code-mixed social media content: Corpus and baseline system
A Khandelwal, S Swami, SS Akhtar, M Shrivastava
Computación y Sistemas 22 (4), 1241-1247, 2018
Corpus creation and emotion prediction for Hindi-English code-mixed social media text
D Vijay, A Bohra, V Singh, SS Akhtar, M Shrivastava
Proceedings of the 2018 conference of the North American chapter of the …, 2018
Aggression detection on social media text using deep neural networks
V Singh, A Varshney, SS Akhtar, D Vijay, M Shrivastava
Proceedings of the 2nd workshop on abusive language online (ALW2), 43-50, 2018
The system can't perform the operation now. Try again later.
Articles 1–20