838 citations
- Microsoft Research (India)IN10 papers
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- Microsoft (United States)US6 papers
- Indian Institute of Technology KharagpurIN4 papers
- International Institute of Information Technology, HyderabadIN4 papers
- Carnegie Mellon UniversityUS3 papers
- Indian Institute of Technology DelhiIN3 papers
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- International Institute of Information TechnologyIN2 papers
- Laboratoire Bordelais de Recherche en InformatiqueFR2 papers
6 papers · 1 filter
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
Sayar Ghosh Roy, Anshul Padhi, Risubh Jain +2
Multiple studies have focused on predicting the prospective popularity of an online document as a whole, without paying attention to the contributions of its individual parts. We i…
Joint processing of linguistic properties in brains and language models
Subba Reddy Oota, Manish Gupta, Mariya Toneva
Language models have been shown to be very effective in predicting brain recordings of subjects experiencing complex language stimuli. For a deeper understanding of this alignment,…
Multilingual and code-switching ASR challenges for low resource Indian languages
Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah +19
Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking adva…
A Generative Approach to Question Answering
Rajarshee Mitra
Question Answering has come a long way from answer sentence selection, relational QA to reading and comprehension. We shift our attention to generative question answering (gQA) by…
Deep Learning for Hate Speech Detection in Tweets
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1
Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We defin…
Interpretation of Semantic Tweet Representations
J Ganesh, Manish Gupta, Vasudeva Varma
Research in analysis of microblogging platforms is experiencing a renewed surge with a large number of works applying representation learning models for applications like sentiment…