148 citations · 759 across the 35 of their papers we have counts for
9 papers · 1 filter
SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences
Sainik Kumar Mahata, Soumil Mandal, Dipankar Das +1
In the present article, we identified the qualitative differences between Statistical Machine Translation (SMT) and Neural Machine Translation (NMT) outputs. We have tried to answe…
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu +3
As deep learning methods form a critical part in commercially important applications such as autonomous driving and medical diagnostics, it is important to reliably detect out-of-d…
How did the discussion go: Discourse act classification in social media conversations
Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das
We propose a novel attention based hierarchical LSTM model to classify discourse act sequences in social media conversations, aimed at mining data from online discussion using text…
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017
Braja Gopal Patra, Dipankar Das, Amitava Das
Sentiment analysis is essential in many real-world applications such as stance detection, review analysis, recommendation system, and so on. Sentiment analysis becomes more difficu…
Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages
Soumil Mandal, Sainik Kumar Mahata, Dipankar Das
Analysis of informative contents and sentiments of social users has been attempted quite intensively in the recent past. Most of the systems are usable only for monolingual data an…
Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models
Soumil Mandal, Sourya Dipta Das, Dipankar Das
Language identification of social media text still remains a challenging task due to properties like code-mixing and inconsistent phonetic transliterations. In this paper, we prese…