7.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Harish-Chandra Research InstituteIN27 papers
- International Institute of Information TechnologyIN23 papers
- Homi Bhabha National InstituteIN20 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN20 papers
- Indian Institute of Science BangaloreIN15 papers
- Indian Institute of Technology HyderabadIN14 papers
- Institute of Physics, BhubaneshwarIN11 papers
- Birla Institute of Technology and Science, PilaniIN10 papers
- National University of SingaporeSG9 papers
- Indian Institute of Technology KanpurIN8 papers
- Université Libre de BruxellesBE8 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN7 papers
11 papers · 2 filters
Analysis of Speeches in Indian Parliamentary Debates
Sakala Venkata Krishna Rohit, Navjyoti Singh
With the increasing usage of the internet, more and more data is being digitized including parliamentary debates but they are in an unstructured format. There is a need to convert…
Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi
This paper illustrates the interface of the tool we developed for crowd sourcing and we explain the annotation procedure in detail. Our tool is named as 'Parupalli Padajaalam' whic…
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System
Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar +1
The rapid expansion in the usage of social media networking sites leads to a huge amount of unprocessed user generated data which can be used for text mining. Author profiling is t…
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…
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection
Sahil Swami, Ankush Khandelwal, Vinay Singh +2
Social media platforms like twitter and facebook have be- come two of the largest mediums used by people to express their views to- wards different topics. Generation of such large…
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…
Enrichment of OntoSenseNet: Adding a Sense-annotated Telugu lexicon
Sreekavitha Parupalli, Navjyoti Singh
The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. This resource contains a newly developed Telugu-Telugu dictionary. It is…
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…