research
∙
05/25/2023
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
India has a rich linguistic landscape with languages from 4 major langua...
share
research
∙
05/25/2023
Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages
We create publicly available language identification (LID) datasets and ...
research
∙
05/25/2023
Svarah: Evaluating English ASR Systems on Indian Accents
India is the second largest English-speaking country in the world with a...
research
∙
05/24/2023
Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR
Improving ASR systems is necessary to make new LLM-based use-cases acces...
research
∙
05/12/2023
A Comprehensive Analysis of Adapter Efficiency
Adapters have been positioned as a parameter-efficient fine-tuning (PEFT...
research
∙
12/20/2022
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages
The rapid growth of machine translation (MT) systems has necessitated co...
research
∙
12/20/2022
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
We present, Naamapadam, the largest publicly available Named Entity Reco...
research
∙
12/11/2022
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages
In this work, we introduce IndicXTREME, a benchmark consisting of nine d...
research
∙
11/17/2022
Towards Building Text-To-Speech Systems for the Next Billion Users
Deep learning based text-to-speech (TTS) systems have been evolving rapi...
research
∙
08/26/2022
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages
End-to-end (E2E) models have become the default choice for state-of-the-...
research
∙
08/24/2022
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages
A cornerstone in AI research has been the creation and adoption of stand...
research
∙
05/06/2022
Aksharantar: Towards building open transliteration tools for the next billion users
We introduce Aksharantar, the largest publicly available transliteration...
research
∙
03/26/2022
Joint Transformer/RNN Architecture for Gesture Typing in Indic Languages
Gesture typing is a method of typing words on a touch-based keyboard by ...
research
∙
03/23/2022
Input-specific Attention Subnetworks for Adversarial Detection
Self-attention heads are characteristic of Transformer models and have b...
research
∙
03/12/2022
A Survey in Adversarial Defences and Robustness in NLP
In recent years, it has been seen that deep neural networks are lacking ...
research
∙
03/11/2022
Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons
Recent studies have shown the advantages of evaluating NLG systems using...
research
∙
11/06/2021
Towards Building ASR Systems for the Next Billion Users
Recent methods in speech and language technology pretrain very LARGE mod...
research
∙
10/09/2021
A Framework for Rationale Extraction for Deep QA models
As neural-network-based QA models become deeper and more complex, there ...
research
∙
09/26/2021
On the Prunability of Attention Heads in Multilingual BERT
Large multilingual models, such as mBERT, have shown promise in crosslin...
research
∙
09/13/2021
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Natural Language Generation (NLG) evaluation is a multifaceted task requ...
research
∙
09/07/2021
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages
In this paper we present IndicBART, a multilingual, sequence-to-sequence...
research
∙
07/01/2021
A Primer on Pretrained Multilingual Language Models
Multilingual Language Models (MLLMs) such as mBERT, XLM, XLM-R, etc. hav...
research
∙
01/22/2021
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
Multi-headed attention heads are a mainstay in transformer-based models....
research
∙
11/30/2020
Unsupervised Deep Video Denoising
Deep convolutional neural networks (CNNs) currently achieve state-of-the...
research
∙
10/18/2020
Towards Interpreting BERT for Reading Comprehension Based QA
BERT and its variants have achieved state-of-the-art performance in vari...
research
∙
10/01/2020
Evaluating a Generative Adversarial Framework for Information Retrieval
Recent advances in Generative Adversarial Networks (GANs) have resulted ...
research
∙
09/23/2020
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
There is an increasing focus on model-based dialog evaluation metrics su...
research
∙
08/27/2020
A Survey of Evaluation Metrics Used for NLG Systems
The success of Deep Learning has created a surge in interest in a wide a...
research
∙
08/13/2020
On the Importance of Local Information in Transformer Based Models
The self-attention module is a key component of Transformer-based models...
research
∙
07/05/2020
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Are existing object detection methods adequate for detecting text and vi...
research
∙
05/28/2020
On Incorporating Structural Information to improve Dialogue Response Generation
We consider the task of generating dialogue responses from background kn...
research
∙
04/30/2020
AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages
We present the IndicNLP corpus, a large-scale, general-domain corpus con...
research
∙
04/29/2020
Towards Transparent and Explainable Attention Models
Recent studies on interpretability of attention distributions have led t...
research
∙
11/03/2019
Scene Graph based Image Retrieval – A case study on the CLEVR Dataset
With the prolification of multimodal interaction in various domains, rec...
research
∙
09/03/2019
Data Interpretation over Plots
Reasoning over plots by question answering (QA) is a challenging machine...
research
∙
08/31/2019
Let's Ask Again: Refine Network for Automatic Question Generation
In this work, we focus on the task of Automatic Question Generation (AQG...
research
∙
04/04/2019
Frustratingly Poor Performance of Reading Comprehension Models on Non-adversarial Examples
When humans learn to perform a difficult task (say, reading comprehensio...
research
∙
04/04/2019
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
The task of Reading Comprehension with Multiple Choice Questions, requir...
research
∙
02/27/2019
Efficient Video Classification Using Fewer Frames
Recently,there has been a lot of interest in building compact models for...
research
∙
02/23/2019
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Automatically evaluating the quality of dialogue responses for unstructu...
research
∙
12/26/2018
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Recently there has been a lot of work on pruning filters from deep convo...
research
∙
10/29/2018
On Controllable Sparse Alternatives to Softmax
Converting an n-dimensional vector to a probability distribution over n ...
research
∙
09/21/2018
Towards Exploiting Background Knowledge for Building Conversation Systems
Existing dialog datasets contain a sequence of utterances and responses ...
research
∙
08/30/2018
Towards a Better Metric for Evaluating Question Generation Systems
There has always been criticism for using n-gram based similarity metric...
research
∙
06/15/2018
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
There is an increasing demand for goal-oriented conversation systems whi...
research
∙
06/12/2018
A Question-Answering framework for plots using Deep learning
Deep Learning has managed to push boundaries in a wide variety of tasks....
research
∙
05/31/2018
Fusion Graph Convolutional Networks
Semi-supervised node classification involves learning to classify unlabe...
research
∙
05/31/2018
HOPF: Higher Order Propagation Framework for Deep Collective Classification
Given a graph wherein every node has certain attributes associated with ...
research
∙
05/12/2018
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames
Over the past few years, various tasks involving videos such as classifi...
research
∙
04/21/2018
