Search Results for author:
Found 23 papers, 9 papers with code
Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused Learning
In this work, we incorporate external commonsense knowledge from knowledge graphs to enhance the representation of multimodal data using compact Visual Language Models (VLMs) and predict the success of multi-modal crowdfunding campaigns.
CABINET: Content Relevance based Noise Reduction for Table Question Answering
Typically, only a small part of the whole table is relevant to derive the answer for a given question.
Ranked #1 on
Semantic Parsing
on WikiSQL
(Denotation accuracy (test) metric)
Exploring Graph Neural Networks for Indian Legal Judgment Prediction
We explored various embeddings as model features, while nodes such as time nodes and judicial acts were added and pruned to evaluate the model's performance.
CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing
In legal document writing, one of the key elements is properly citing the case laws and other sources to substantiate claims and arguments.
H-AES: Towards Automated Essay Scoring for Hindi
In this study, we reproduce and compare state-of-the-art methods for AES in the Hindi domain.
Get It Scored Using AutoSAS -- An Automated System for Scoring Short Answers
In this paper, we present a fast, scalable, and accurate approach towards automated Short Answer Scoring (SAS).
LIFI: Towards Linguistically Informed Frame Interpolation
We also release several datasets to test computer vision video generation models of their speech understanding.
Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems
This number is increasing further due to COVID-19 and the associated automation of education and testing.
"Notic My Speech" -- Blending Speech Patterns With Multimedia
To close the gap between speech understanding and multimedia video applications, in this paper, we show the initial experiments by modelling the perception on visual speech and showing its use case on video compression.
audino: A Modern Annotation Tool for Audio and Speech
The tool allows audio data and their corresponding annotations to be uploaded and assigned to a user through a key-based API.
Multi-modal Automated Speech Scoring using Attention Fusion
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.
An Annotated Dataset of Discourse Modes in Hindi Stories
In this paper, we present a new corpus consisting of sentences from Hindi short stories annotated for five different discourse modes argumentative, narrative, descriptive, dialogic and informative.
Touchless Typing using Head Movement-based Gestures
The modified GRU-based model outperforms the standard CNN-RNN and Conv3D models for three of the four scenarios.
Human-Computer Interaction I.2.7
Learning based Methods for Code Runtime Complexity Prediction
Predicting the runtime complexity of a programming code is an arduous task.
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings
In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings.
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories
In this paper, we introduce the first and largest Hindi text corpus, named BHAAV, which means emotions in Hindi, for analyzing emotions that a writer expresses through his characters in a story, as perceived by a narrator/reader.
Lipper: Synthesizing Thy Speech using Multi-View Lipreading
The model takes silent videos as input and produces speech as the output.
MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
Visual speech recognition (VSR) is the task of recognizing spoken language from video input only, without any audio.
Suggestion Mining from Online Reviews using ULMFiT
In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition
To solve this problem, we present a novel approach to zero-shot learning by generating new classes using Generative Adversarial Networks (GANs), and show how the addition of unseen class samples increases the accuracy of a VSR system by a significant margin of 27% and allows it to handle speaker-independent out-of-vocabulary phrases.
Kiki Kills: Identifying Dangerous Challenge Videos from Social Media
There has been upsurge in the number of people participating in challenges made popular through social media channels.
Mind Your Language: Abuse and Offense Detection for Code-Switched Languages
In multilingual societies like the Indian subcontinent, use of code-switched languages is much popular and convenient for the users.
Harnessing AI for Speech Reconstruction using Multi-view Silent Video Feed
Recently, research has started venturing into generating (audio) speech from silent video sequences but there have been no developments thus far in dealing with divergent views and poses of a speaker.
Sound Audio and Speech Processing
