Preksha Nema | DeepAI

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∙ 05/19/2023

STOAT: Structured Data to Analytical Text With Controls

Recent language models have made tremendous progress in the structured d...

0 Deepanway Ghosal, et al. ∙

∙ 12/03/2022

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation

Unavailability of parallel corpora for training text style transfer (TST...

0 Anubhav Jangra, et al. ∙

∙ 10/09/2021

A Framework for Rationale Extraction for Deep QA models

As neural-network-based QA models become deeper and more complex, there ...

0 Sahana Ramnath, et al. ∙

∙ 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....

5 Madhura Pande, et al. ∙

∙ 10/18/2020

Towards Interpreting BERT for Reading Comprehension Based QA

BERT and its variants have achieved state-of-the-art performance in vari...

0 Sahana Ramnath, et al. ∙

∙ 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...

0 Madhura Pande, et al. ∙

∙ 04/29/2020

Towards Transparent and Explainable Attention Models

Recent studies on interpretability of attention distributions have led t...

0 Akash Kumar Mohankumar, et al. ∙

∙ 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...

0 Preksha Nema, et al. ∙

∙ 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...

0 Soham Parikh, et al. ∙

∙ 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...

0 Soham Parikh, et al. ∙

∙ 08/30/2018

Towards a Better Metric for Evaluating Question Generation Systems

There has always been criticism for using n-gram based similarity metric...

0 Preksha Nema, et al. ∙

∙ 04/20/2018

A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization

Structured data summarization involves generation of natural language su...

0 Parag Jain, et al. ∙

∙ 04/20/2018

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

In this work, we focus on the task of generating natural language descri...

0 Preksha Nema, et al. ∙

∙ 04/26/2017

Diversity driven Attention Model for Query-based Abstractive Summarization

Abstractive summarization aims to generate a shorter version of the docu...

0 Preksha Nema, et al. ∙

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