Marketers spend billions of dollars on advertisements but to what end? A...
Shannon, in his seminal paper introducing information theory, divided th...
Multimedia content, such as advertisements and story videos, exhibit a r...
In legal document writing, one of the key elements is properly citing th...
Certified defense methods against adversarial perturbations have been
re...
Recent developments in pre-trained speech representation utilizing
self-...
The use of Natural Language Processing (NLP) for Automated Essay Scoring...
In this paper, we consider a theoretical model for injecting data bias,
...
Disfluency, though originating from human spoken utterances, is primaril...
Previous studies have shown that commonly studied (vanilla) implementati...
Existing approaches in disfluency detection focus on solving a token-lev...
Identifying keyphrases (KPs) from text documents is a fundamental task i...
In the current era of the internet, where social media platforms are eas...
English proficiency assessments have become a necessary metric for filte...
Automated Scoring (AS), the natural language processing task of scoring
...
Building Spoken Language Understanding (SLU) systems that do not rely on...
Toxic speech, also known as hate speech, is regarded as one of the cruci...
Deep learning has shown remarkable progress in a wide range of problems....
It is well known that natural language models are vulnerable to adversar...
Deep-learning based Automatic Essay Scoring (AES) systems are being acti...
Automatic Speech Scoring (ASS) is the computer-assisted evaluation of a
...
Previous studies have demonstrated that commonly studied (vanilla)
touch...
Code-switching is the communication phenomenon where speakers switch bet...
The advancement in technology and accessibility of internet to each
indi...
On 6 January 2021, a mob of right-wing conservatives stormed the USA Cap...
This paper describes our proposed system for the AAAI-CAD21 shared task:...
Developing human-like conversational agents is a prime area in HCI resea...
In recent times, BERT based transformer models have become an inseparabl...
While there has been significant progress towards modelling coherence in...
Significant progress has been made in deep-learning based Automatic Essa...
In the era of MOOCs, online exams are taken by millions of candidates, w...
Training a robust Speech to Text (STT) system requires tens of thousands...
In this work, we explore a new problem of frame interpolation for speech...
Conditional sequence generation aims to instruct the generation procedur...
This paper presents our submission to the SemEval 2020 - Task 10 on emph...
Automatically detecting personality traits can aid several applications,...
Fashion is an important part of human experience. Events such as intervi...
With the global transformation of the fashion industry and a rise in the...
The ability to accurately detect and filter offensive content automatica...
A significant progress has been made in deep-learning based Automatic Es...
In this paper, we study the inference of gender, major/minor (computer
s...
Speech as a natural signal is composed of three parts - visemes (visual ...
In this paper, we introduce a collaborative and modern annotation tool f...
Named entity recognition (NER) from text has been a widely studied probl...
In this study, we propose a novel multi-modal end-to-end neural approach...
Visual Question Generation (VQG) is the task of generating natural quest...
There are a wide range of applications that involve multi-modal data, su...
Twitter is a social media platform where users express opinions over a
v...
Physical contact-based typing interfaces are not suitable for people wit...
In this paper, we present a dataset containing 9,973 tweets related to t...