In this study, we investigate using graph neural network (GNN)
represent...
Identifying keyphrases (KPs) from text documents is a fundamental task i...
We study the task of predicting a set of salient questions from a given
...
In this work, we explore how to learn task-specific language models aime...
In this paper, we study the importance of context in predicting the cita...
Code-switching is the communication phenomenon where speakers switch bet...
In the era of MOOCs, online exams are taken by millions of candidates, w...
This paper presents our submission to the SemEval 2020 - Task 10 on emph...
The ability to accurately detect and filter offensive content automatica...
Twitter is a social media platform where users express opinions over a
v...
In this paper, we present a dataset containing 9,973 tweets related to t...
In this paper, we formulate keyphrase extraction from scholarly articles...
In this paper, we introduce the first and largest Hindi text corpus, nam...
In this paper, we present a keyphrase generation approach using conditio...
Visual speech recognition (VSR) is the task of recognizing spoken langua...
In this paper we present our approach and the system description for Sub...
In this paper we present our approach and the system description for Sub...
It is an easy task for humans to learn and generalize a problem, perhaps...
There has been upsurge in the number of people participating in challeng...
Mining social media messages such as tweets, articles, and Facebook post...
Keyword extraction is a fundamental task in natural language processing ...
Multiple modalities represent different aspects by which information is
...
Mining social media messages for health and drug related information has...
This paper describes Infosys's participation in the "2nd Social Media Mi...