Search Results for author: Deepak Gupta

Found 34 papers, 9 papers with code

Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering

no code implementations BioNLP (ACL) 2022 Deepak Gupta, Dina Demner-Fushman

The shared task addressed two of the challenges faced by medical video question answering: (I) a video classification task that explores new approaches to medical video understanding (labeling), and (ii) a visual answer localization task.

Question Answering Video Classification +2

NLM at MEDIQA 2021: Transfer Learning-based Approaches for Consumer Question and Multi-Answer Summarization

no code implementations NAACL (BioNLP) 2021 Shweta Yadav, Mourad Sarrouti, Deepak Gupta

One of the cardinal tasks in achieving robust consumer health question answering systems is the question summarization and multi-document answer summarization.

Question Answering Transfer Learning

A Dataset for Medical Instructional Video Classification and Question Answering

2 code implementations30 Jan 2022 Deepak Gupta, Kush Attal, Dina Demner-Fushman

This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language questions.

Question Answering Video Classification +1

Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation

no code implementations Findings (EMNLP) 2021 Humair Raj Khan, Deepak Gupta, Asif Ekbal

We also create the large-scale multilingual and code-mixed VQA dataset in eleven different language setups considering the multiple Indian and European languages.

Knowledge Distillation Question Answering +2

BloomNet: A Robust Transformer based model for Bloom's Learning Outcome Classification

no code implementations16 Aug 2021 Abdul Waheed, Muskan Goyal, Nimisha Mittal, Deepak Gupta, Ashish Khanna, Moolchand Sharma

For the optimization of educational programs, it is crucial to design course learning outcomes (CLOs) according to the different cognitive levels of Bloom Taxonomy.

Out-of-Distribution Generalization

Effective Resource-Competition Model for Species Coexistence

no code implementations2 Apr 2021 Deepak Gupta, Stefano Garlaschi, Samir Suweis, Sandro Azaele, Amos Maritan

Finally, we analytically compute the distribution of the population sizes of coexisting species.

Domain Controlled Title Generation with Human Evaluation

no code implementations8 Mar 2021 Abdul Waheed, Muskan Goyal, Nimisha Mittal, Deepak Gupta

We study automatic title generation and present a method for generating domain-controlled titles for scientific articles.

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

1 code implementation8 Mar 2021 Abdul Waheed, Muskan Goyal, Deepak Gupta, Ashish Khanna, Fadi Al-Turjman, Placido Rogerio Pinheiro

This has led to the introduction of a variety of deep learning systems and studies have shown that the accuracy of COVID-19 patient detection through the use of chest X-rays is strongly optimistic.

Data Augmentation

Rescaling CNN through Learnable Repetition of Network Parameters

1 code implementation14 Jan 2021 Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak Gupta

We show that small base networks when rescaled, can provide performance comparable to deeper networks with as low as 6% of optimization parameters of the deeper one.

Resetting with stochastic return through linear confining potential

no code implementations23 Dec 2020 Deepak Gupta, Arnab Pal, Anupam Kundu

In contrast to the usual setting where the particle is instantaneously reset to a preferred location (say, the origin), here we consider a finite time resetting process facilitated by an external linear potential $V(x)=\lambda|x|~ (\lambda>0)$.

Statistical Mechanics

Siamese Tracking with Lingual Object Constraints

1 code implementation23 Nov 2020 Maximilian Filtenborg, Efstratios Gavves, Deepak Gupta

Classically, visual object tracking involves following a target object throughout a given video, and it provides us the motion trajectory of the object.

Question Answering Video Summarization +2

Hierarchical Deep Multi-modal Network for Medical Visual Question Answering

1 code implementation27 Sep 2020 Deepak Gupta, Swati Suman, Asif Ekbal

To address this issue, we propose a hierarchical deep multi-modal network that analyzes and classifies end-user questions/queries and then incorporates a query-specific approach for answer prediction.

Medical Visual Question Answering Question Answering +2

Reinforced Multi-task Approach for Multi-hop Question Generation

no code implementations COLING 2020 Deepak Gupta, Hardik Chauhan, Akella Ravi Tej, Asif Ekbal, Pushpak Bhattacharyya

Question generation (QG) attempts to solve the inverse of question answering (QA) problem by generating a natural language question given a document and an answer.

Multi-hop Question Answering Question Answering +1

Hiding Data in Images Using Cryptography and Deep Neural Network

no code implementations22 Dec 2019 Kartik Sharma, Ashutosh Aggarwal, Tanay Singhania, Deepak Gupta, Ashish Khanna

Previously, steganography has been combined with cryptography and neural networks separately.

Improving Neural Question Generation using World Knowledge

no code implementations9 Sep 2019 Deepak Gupta, Kaheer Suleman, Mahmoud Adada, Andrew McNamara, Justin Harris

In this paper, we propose a method for incorporating world knowledge (linked entities and fine-grained entity types) into a neural question generation model.

Question Generation

Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network

no code implementations1 Nov 2018 Hitesh Golchha, Deepak Gupta, Asif Ekbal, Pushpak Bhattacharyya

We evaluate the performance of our proposed model on a benchmark customer review dataset, comprising of the reviews of Hotel and Electronics domains.

Sentiment Analysis Suggestion mining

Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering

no code implementations CONLL 2018 Deepak Gupta, Pabitra Lenka, Asif Ekbal, Pushpak Bhattacharyya

In this paper, we propose a linguistically motivated technique for code-mixed question generation (CMQG) and a neural network based architecture for code-mixed question answering (CMQA).

Question Answering Question Generation

Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering

no code implementations5 Aug 2018 Deepak Gupta, Sarah Kohail, Pushpak Bhattacharyya

Answer triggering is the task of selecting the best-suited answer for a given question from a set of candidate answers if exists.

Auto Analysis of Customer Feedback using CNN and GRU Network

1 code implementation12 Oct 2017 Deepak Gupta, Pabitra Lenka, Harsimran Bedi, Asif Ekbal, Pushpak Bhattacharyya

Analyzing customer feedback is the best way to channelize the data into new marketing strategies that benefit entrepreneurs as well as customers.

SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text

1 code implementation1 Feb 2017 Deepak Gupta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya

For the task of PoS tagging on Code-Mixed Indian Social Media Text, we develop a supervised system based on Conditional Random Field classifier.

Part-Of-Speech Tagging POS +1

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