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Anil Kumar Singh
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Publications
- 2024
- [j40]Anil Kumar Singh, Ankit Kumar, Vinay Kumar, Shiv Prakash:
COVID-19 Detection using adopted convolutional neural networks and high-performance computing. Multim. Tools Appl. 83(1): 593-608 (2024) - [j39]Naina Yadav, Sukomal Pal, Anil Kumar Singh:
Diversified recommendation using implicit content node embedding in heterogeneous information network. Multim. Tools Appl. 83(7): 20605-20635 (2024) - 2023
- [j32]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Generative Adversarial Neural Machine Translation for Phonetic Languages via Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 190-199 (2023) - [i15]Amit Kumar, Rupjyoti Baruah, Ajay Pratap, Mayank Swarnkar, Anil Kumar Singh:
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques. CoRR abs/2303.01793 (2023) - [i14]Amit Kumar, Ajay Pratap, Anil Kumar Singh:
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning. CoRR abs/2303.18011 (2023) - [i13]Amit Kumar, Shantipriya Parida, Ajay Pratap, Anil Kumar Singh:
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding. CoRR abs/2305.12371 (2023) - 2022
- [j30]Naina Yadav, Anil Kumar Singh, Sukomal Pal:
Improved self-attentive Musical Instrument Digital Interface content-based music recommendation system. Comput. Intell. 38(4): 1232-1257 (2022) - [j27]Amit Kumar, Ajay Pratap, Anil Kumar Singh, Sriparna Saha:
Addressing domain shift in neural machine translation via reinforcement learning. Expert Syst. Appl. 201: 117039 (2022) - [j24]Naina Yadav, Sukomal Pal, Anil Kumar Singh, Kartikey Singh:
Clus-DR: Cluster-based pre-trained model for diverse recommendation generation. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part B): 6385-6399 (2022) - [j23]Amit Kumar, Rajesh Kumar Mundotiya, Ajay Pratap, Anil Kumar Singh:
TLSPG: Transfer learning-based semi-supervised pseudo-corpus generation approach for zero-shot translation. J. King Saud Univ. Comput. Inf. Sci. 34(9): 6552-6563 (2022) - [j22]Rajesh Kumar Mundotiya, Arpit Mehta, Rupjyoti Baruah, Anil Kumar Singh:
Integration of morphological features and contextual weightage using monotonic chunk attention for part of speech tagging. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7324-7334 (2022) - [j20]Rajesh Kumar Mundotiya, Swasti Mishra, Anil Kumar Singh:
Hierarchical self attention based sequential labelling model for Bhojpuri, Maithili and Magahi languages. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8739-8749 (2022) - [j18]Ajay Kumar Taloor, Anil Kumar Singh, Pankaj Kumar, Amit Kumar, Jayant Nath Tripathi, Maya Kumari, Bahadur Singh Kotlia, Girish Chandra Kothyari, Surya Prakash Tiwari, Brian Alan Johnson:
Geospatial Technology-Based Analysis of Air Quality in India during the COVID-19 Pandemic. Remote. Sens. 14(18): 4650 (2022) - [j17]Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Low Resource Neural Machine Translation: Assamese to/from Other Indo-Aryan (Indic) Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(1): 19:1-19:32 (2022) - 2021
- [j11]Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh:
Linguistic Resources for Bhojpuri, Magahi, and Maithili: Statistics about Them, Their Similarity Estimates, and Baselines for Three Applications. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 95:1-95:37 (2021) - 2020
- [j10]Ashish Ranjan, Vibhav Prakash Singh, Anil Kumar Singh, Anil Kumar Thakur, Ravi Bhushan Mishra:
Classifying Brain State in Sentence Polarity Exposure: An ANN Model for fMRI Data. Rev. d'Intelligence Artif. 34(3): 361-368 (2020) - [c61]Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh:
NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets. W-NUT@EMNLP 2020: 419-422 - [c60]Naina Yadav, Anil Kumar Singh:
Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System. FIRE 2020: 49-53 - [c58]Ankur Sonawane, Sujeet Kumar Vishwakarma, Bhavana Srivastava, Anil Kumar Singh:
Generating Inflectional Errors for Grammatical Error Correction in Hindi. AACL/IJCNLP (Student Research Workshop) 2020: 165-171 - [c57]Rajesh Kumar Mundotiya, Vikrant Kumar, Arpit Mehta, Anil Kumar Singh:
Attention-based Domain adaption Using Transfer Learning for Part-of-Speech Tagging: An Experiment on the Hindi language. PACLIC 2020: 471-477 - [c56]Amit Kumar, Rupjyoti Baruah, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Transformer-based Neural Machine Translation System for Hindi - Marathi: WMT20 Shared Task. WMT@EMNLP 2020: 393-395 - [c55]Rupjyoti Baruah, Rajesh Kumar Mundotiya, Amit Kumar, Anil Kumar Singh:
NLPRL System for Very Low Resource Supervised Machine Translation. WMT@EMNLP 2020: 1075-1078 - [i10]Rajesh Kumar Mundotiya, Manish Kumar Singh, Rahul Kapur, Swasti Mishra, Anil Kumar Singh:
Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing. CoRR abs/2004.13945 (2020) - [i9]Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet Kumar, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh:
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi. CoRR abs/2009.06451 (2020) - 2019
- [j9]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages. J. Lang. Model. 7(2): 101-142 (2019) - [c54]Amit Kumar, Anil Kumar Singh:
NLPRL at WAT2019: Transformer-based Tamil - English Indic Task Neural Machine Translation System. WAT@EMNLP-IJCNLP 2019: 171-174 - [c53]Naina Yadav, Rajesh Kumar Mundotiya, Anil Kumar Singh, Sukomal Pal:
Diversity in Recommendation System: A Cluster Based Approach. HIS 2019: 113-122 - [c52]Pankaj Joshi, Sachin Kumar, Divya Kumar, Anil Kumar Singh:
A Blockchain Based Framework for Fraud Detection. NextComp 2019: 1-5 - 2018
- [c48]Akhilesh Sudhakar, Rajesh Kumar Mundotiya, Anil Kumar Singh:
Experiments on Deep Morphological Inflection. CICLing (1) 2018: 382-398 - [c45]Rajesh Kumar Mundotiya, Manish Kumar Singh, Anil Kumar Singh:
NLPRL@INLI-2018: Hybrid gated LSTM-CNN model for Indian Native Language Identification. FIRE (Working Notes) 2018: 95-101 - [e2]Anil Kumar Singh, Avijit Thawani:
Proceedings of the RevOpiD@HT 2018 Workshop on Opinion Mining, Summarization and Diversification, Baltimore, Maryland, USA, July, 2018. ACM 2018, ISBN 978-1-4503-6271-9 [contents] - [i5]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Multi Task Deep Morphological Analyzer: Context Aware Joint Morphological Tagging and Lemma Prediction. CoRR abs/1811.08619 (2018) - [i4]Saurav Jha, Akhilesh Sudhakar, Anil Kumar Singh:
Neural Machine Translation based Word Transduction Mechanisms for Low-Resource Languages. CoRR abs/1811.08816 (2018) - 2017
- [c41]Anil Kumar Singh, Avijit Thawani, Anubhav Gupta, Rajesh Kumar Mundotiya:
Evaluating Opinion Summarization in Ranking. AIRS 2017: 222-234 - [c40]Akhilesh Sudhakar, Anil Kumar Singh:
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task. CoNLL Shared Task (1) 2017: 71-78 - [c37]Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh:
Reference Scope Identification for Citances Using Convolutional Neural Networks. ICON 2017: 23-32 - [c36]Akhilesh Sudhakar, Anil Kumar Singh:
Neural Morphological Disambiguation Using Surface and Contextual Morphological Awareness. ICON 2017: 485-494 - [c35]Anil Kumar Singh, Avijit Thawani, Mayank Panchal, Anubhav Gupta, Julian J. McAuley:
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017). IJCNLP (Shared Tasks) 2017: 17-25 - [i3]Anil Kumar Singh, Akhilesh Sudhakar:
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics. CoRR abs/1712.07512 (2017) - 2015
- [j4]Anil Kumar Singh, Ravi Kumar Gangwar, Binod Kumar Kanaujia, Abhishek Sharma:
Design and Analysis of Cavity Backed Annular Ring Microstrip Antenna for Personal Wireless Communication. Wirel. Pers. Commun. 83(4): 2647-2656 (2015) - [c32]Shubham Mukherjee, Abhishek Tiwari, Mohit Gupta, Anil Kumar Singh:
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features. CoNLL Shared Task 2015: 61-65 - [c30]Rohit Gupta, Anil Kumar Singh:
A Concept for Co-existence of Heterogeneous Recommender Systems Based on Blackboard Architecture. ICDCIT 2015: 409-414 - [c28]C. Ravindranath Chowdary, Anil Kumar Singh, Anil Nelakanti:
Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content. ICWE Workshops 2015: 103-114 - [i2]C. Ravindranath Chowdary, Anil Kumar Singh, Anil Nelakanti:
Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content. CoRR abs/1501.04509 (2015) - 2014
- [c25]Anil Kumar Singh, C. Ravindranath Chowdary:
Centrality based Document Ranking. TREC 2014 - 2009
- [c16]Abdul Aleem, Reena Srivastava, Anil Kumar Singh, M. M. Gore:
GCLOD : A Clustering Algorithm for Improved Intra-cluster Similarity and Efficient Local Outliers Detection. DMIN 2009: 524-530
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last updated on 2024-03-19 02:11 CET by the dblp team
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