41 citations · 89 across the 6 of their papers we have counts for
6 papers
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages
Nurendra Choudhary, Rajat Singh, Manish Shrivastava
Neural network models have shown promising results for text classification. However, these solutions are limited by their dependence on the availability of annotated data. The pros…
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
The introduction of emojis (or emoticons) in social media platforms has given the users an increased potential for expression. We propose a novel method called Classification of Em…
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Code-mixed data is an important challenge of natural language processing because its characteristics completely vary from the traditional structures of standard languages. In this…
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Machine learning approaches in sentiment analysis principally rely on the abundance of resources. To limit this dependence, we propose a novel method called Siamese Network Archite…
Automatic Normalization of Word Variations in Code-Mixed Social Media Text
Rajat Singh, Nurendra Choudhary, Manish Shrivastava
Social media platforms such as Twitter and Facebook are becoming popular in multilingual societies. This trend induces portmanteau of South Asian languages with English. The blend…
Neural Network Architecture for Credibility Assessment of Textual Claims
Nurendra Choudhary, Rajat Singh, Ishita Bindlish +1
Text articles with false claims, especially news, have recently become aggravating for the Internet users. These articles are in wide circulation and readers face difficulty discer…