most citedJUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media

Avishek Garain

SemEval-2020 Task 12 was OffenseEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). The task was subdivided into multiple languages and da…

cs.CL20201 cited

JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation

Avishek Garain, Sainik Kumar Mahata, Dipankar Das

Code-mixing is a phenomenon which arises mainly in multilingual societies. Multilingual people, who are well versed in their native languages and also English speakers, tend to cod…

cs.CL2019

JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English

Sainik Kumar Mahata, Avishek Garain, Adityar Rayala +2

In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to Eng…

cs.CL2019

Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning

Avishek Garain, Sainik Kumar Mahata

This paper describes the system submitted to "Sentiment Analysis at SEPLN (TASS)-2019" shared task. The task includes sentiment analysis of Spanish tweets, where the tweets are in…

cs.CL2019

Normalyzing Numeronyms -- A NLP approach

Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta

This paper presents a method to apply Natural Language Processing for normalizing numeronyms to make them understandable by humans. We approach the problem through a two-step mecha…