1 citations · 1 across the 2 of their papers we have counts for
5 papers
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets
Venkatesh Duppada, Royal Jain, Sushant Hiray
The paper describes the best performing system for the SemEval-2018 Affect in Tweets (English) sub-tasks. The system focuses on the ordinal classification and regression sub-tasks…
"Attention" for Detecting Unreliable News in the Information Age
Venkatesh Duppada
An Unreliable news is any piece of information which is false or misleading, deliberately spread to promote political, ideological and financial agendas. Recently the problem of un…
Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
Venkatesh Duppada, Sushant Hiray
The paper describes experiments on estimating emotion intensity in tweets using a generalized regressor system. The system combines lexical, syntactic and pre-trained word embeddin…
Agree to Disagree: Improving Disagreement Detection with Dual GRUs
Sushant Hiray, Venkatesh Duppada
This paper presents models for detecting agreement/disagreement in online discussions. In this work we show that by using a Siamese inspired architecture to encode the discussions,…
Ensemble Of Deep Neural Networks For Acoustic Scene Classification
Venkatesh Duppada, Sushant Hiray
Deep neural networks (DNNs) have recently achieved great success in a multitude of classification tasks. Ensembles of DNNs have been shown to improve the performance. In this paper…