108 citations · 707 across the 92 of their papers we have counts for
11 papers · 1 filter
A Deep Ensemble Framework for Fake News Detection and Classification
Arjun Roy, Kingshuk Basak, Asif Ekbal +1
Fake news, rumor, incorrect information, and misinformation detection are nowadays crucial issues as these might have serious consequences for our social fabrics. The rate of such…
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages
Rudra Murthy, Anoop Kunchukuttan, Pushpak Bhattacharyya
Transfer learning approaches for Neural Machine Translation (NMT) train a NMT model on the assisting-target language pair (parent model) which is later fine-tuned for the source-ta…
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network
Hitesh Golchha, Deepak Gupta, Asif Ekbal +1
Suggestion mining is increasingly becoming an important task along with sentiment analysis. In today's cyberspace world, people not only express their sentiments and dispositions t…
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Sandeep Mathias, Diptesh Kanojia, Kevin Patel +3
Predicting a reader's rating of text quality is a challenging task that involves estimating different subjective aspects of the text, like structure, clarity, etc. Such subjective…
Is your Statement Purposeless? Predicting Computer Science Graduation Admission Acceptance based on Statement Of Purpose
Diptesh Kanojia, Nikhil Wani, Pushpak Bhattacharyya
We present a quantitative, data-driven machine learning approach to mitigate the problem of unpredictability of Computer Science Graduate School Admissions. In this paper, we discu…
Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering
Deepak Gupta, Sarah Kohail, Pushpak Bhattacharyya
Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if exists. In this paper, we present a hybrid deep learning m…