79 citations · 447 across the 119 of their papers we have counts for
21 papers · 1 filter
Towards Modelling Coherence in Spoken Discourse
Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah +2
While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited. Unlike the cohe…
My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism
Swapnil Parekh, Yaman Kumar Singla, Changyou Chen +2
Significant progress has been made in deep-learning based Automatic Essay Scoring (AES) systems in the past two decades. However, little research has been put to understand and int…
Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers
Yaman Kumar, Swati Aggarwal, Debanjan Mahata +3
In the era of MOOCs, online exams are taken by millions of candidates, where scoring short answers is an integral part. It becomes intractable to evaluate them by human graders. Th…
LIFI: Towards Linguistically Informed Frame Interpolation
Aradhya Neeraj Mathur, Devansh Batra, Yaman Kumar +2
In this work, we explore a new problem of frame interpolation for speech videos. Such content today forms the major form of online communication. We try to solve this problem by us…
mask-Net: Learning Context Aware Invariant Features using Adversarial Forgetting (Student Abstract)
Hemant Yadav, Atul Anshuman Singh, Rachit Mittal +3
Training a robust system, e.g.,Speech to Text (STT), requires large datasets. Variability present in the dataset such as unwanted nuisances and biases are the reason for the need o…
Conditional Hybrid GAN for Sequence Generation
Yi Yu, Abhishek Srivastava, Rajiv Ratn Shah
Conditional sequence generation aims to instruct the generation procedure by conditioning the model with additional context information, which is a self-supervised learning issue (…
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings
Sarthak Anand, Pradyumna Gupta, Hemant Yadav +4
This paper presents our submission to the SemEval 2020 - Task 10 on emphasis selection in written text. We approach this emphasis selection problem as a sequence labeling task wher…
Vyaktitv: A Multimodal Peer-to-Peer Hindi Conversations based Dataset for Personality Assessment
Shahid Nawaz Khan, Maitree Leekha, Jainendra Shukla +1
Automatically detecting personality traits can aid several applications, such as mental health recognition and human resource management. Most datasets introduced for personality d…
PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
Dikshant Sagar, Jatin Garg, Prarthana Kansal +3
Fashion is an important part of human experience. Events such as interviews, meetings, marriages, etc. are often based on clothing styles. The rise in the fashion industry and its…
Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling
Dhruv Verma, Kshitij Gulati, Rajiv Ratn Shah
With the global transformation of the fashion industry and a rise in the demand for fashion items worldwide, the need for an effectual fashion recommendation has never been more. D…
Trawling for Trolling: A Dataset
Hitkul, Karmanya Aggarwal, Pakhi Bamdev +3
The ability to accurately detect and filter offensive content automatically is important to ensure a rich and diverse digital discourse. Trolling is a type of hurtful or offensive…
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems
Anubha Kabra, Mehar Bhatia, Yaman Kumar +2
Automatic scoring engines have been used for scoring approximately fifteen million test-takers in just the last three years. This number is increasing further due to COVID-19 and t…
On the Inference of Soft Biometrics from Typing Patterns Collected in a Multi-device Environment
Vishaal Udandarao, Mohit Agrawal, Rajesh Kumar +1
In this paper, we study the inference of gender, major/minor (computer science, non-computer science), typing style, age, and height from the typing patterns collected from 117 ind…
"Notic My Speech" -- Blending Speech Patterns With Multimedia
Dhruva Sahrawat, Yaman Kumar, Shashwat Aggarwal +3
Speech as a natural signal is composed of three parts - visemes (visual part of speech), phonemes (spoken part of speech), and language (the imposed structure). However, video as a…
audino: A Modern Annotation Tool for Audio and Speech
Manraj Singh Grover, Pakhi Bamdev, Ratin Kumar Brala +3
In this paper, we introduce a collaborative and modern annotation tool for audio and speech: audino. The tool allows annotators to define and describe temporal segmentation in audi…
COBRA: Contrastive Bi-Modal Representation Algorithm
Vishaal Udandarao, Abhishek Maiti, Deepak Srivatsav +3
There are a wide range of applications that involve multi-modal data, such as cross-modal retrieval, visual question-answering, and image captioning. Such applications are primaril…
End-to-end Named Entity Recognition from English Speech
Hemant Yadav, Sreyan Ghosh, Yi Yu +1
Named entity recognition (NER) from text has been a widely studied problem and usually extracts semantic information from text. Until now, NER from speech is mostly studied in a tw…
Multi-modal Automated Speech Scoring using Attention Fusion
Manraj Singh Grover, Yaman Kumar, Sumit Sarin +3
In this study, we propose a novel multi-modal end-to-end neural approach for automated assessment of non-native English speakers' spontaneous speech using attention fusion. The pip…
C3VQG: Category Consistent Cyclic Visual Question Generation
Shagun Uppal, Anish Madan, Sarthak Bhagat +2
Visual Question Generation (VQG) is the task of generating natural questions based on an image. Popular methods in the past have explored image-to-sequence architectures trained wi…
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms
Gyanesh Anand, Akash Gautam, Puneet Mathur +3
Twitter is a social media platform where users express opinions over a variety of issues. Posts offering grievances or complaints can be utilized by private/ public organizations t…
Touchless Typing Using Head Movement-based Gestures
Shivam Rustagi, Aakash Garg, Pranay Raj Anand +3
In this paper, we propose a novel touchless typing interface that makes use of an on-screen QWERTY keyboard and a smartphone camera. The keyboard was divided into nine color-coded…