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ORCIDRajat Singh
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2020 – today
- 2023
[c12]Garima Gaur
, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur:
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. COMAD/CODS 2023: 87-94- [c11]Rajat Singh, Shivangi Bithel, Samidha Verma, Prachi:
VaxiBERT: A BERT-Based Classifier for Vaccine Tweets with Multi-Label Annotations. FIRE (Working Notes) 2023: 59-66 - [c10]Arhath Kumar, Monika Saxena, R. V. L. S. N. Sastry, Ankur Chaudhari, Rajat Singh, V. Malathy:
Internet of Things and Blockchain Data Supplier for Intelligent Applications. IC3I 2023: 2218-2223 - [i8]Rajat Singh, Srikanta Bedathur:
Embeddings for Tabular Data: A Survey. CoRR abs/2302.11777 (2023) - 2021
- [i7]Shivani Choudhary, Tarun Luthra, Ashima Mittal, Rajat Singh:
A Survey of Knowledge Graph Embedding and Their Applications. CoRR abs/2107.07842 (2021)
2010 – 2019
- 2019
- [c9]Kavita Pandey, Prasenjeet Fulzele, Rajat Singh, Prasant Kumar, Saransh Singh:
Predicting and Preventing Fatal Crashes. IC3 2019: 1-6 - 2018
- [c8]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. CICLing (2) 2018: 104-114 - [c7]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. CICLing (2) 2018: 115-128 - [c6]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. CICLing (2) 2018: 129-141 - [c5]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). CICLing (2) 2018: 301-313 - [c4]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CICLing (1) 2018: 371-381 - [c3]Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava:
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. COLING 2018: 1570-1577 - [c2]Prasenjeet Fulzele, Rajat Singh, Naman Kaushik, Kavita Pandey:
A Hybrid Model for Music Genre Classification Using LSTM and SVM. IC3 2018: 1-3 - [i6]Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava:
Neural Network Architecture for Credibility Assessment of Textual Claims. CoRR abs/1803.10547 (2018) - [i5]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CoRR abs/1804.00804 (2018) - [i4]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks. CoRR abs/1804.00805 (2018) - [i3]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages. CoRR abs/1804.00806 (2018) - [i2]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages. CoRR abs/1804.01855 (2018) - [i1]Nurendra Choudhary, Rajat Singh, Manish Shrivastava:
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. CoRR abs/1806.03590 (2018) - 2010
- [c1]Rajat Singh, Sarvesh Vishwakarma, Anupam Agrawal, M. D. Tiwari:
Unusual activity detection for video surveillance. IITM 2010: 297-305
Coauthor Index
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