Devendra Singh Sachan | DeepAI

DeepAI AI Chat

Featured Co-authors

Graham Neubig
243 publications
Xiaodan Liang
197 publications
Ruslan Salakhutdinov
194 publications
Luke Zettlemoyer
160 publications
Eric P Xing
147 publications
Di Wang
126 publications
Joelle Pineau
116 publications
Lingfei Wu
97 publications
Chris Dyer
79 publications
Manzil Zaheer
69 publications
Mike Lewis
64 publications

∙ 06/21/2022

Questions Are All You Need to Train a Dense Passage Retriever

We introduce ART, a new corpus-level autoencoding approach for training ...

6 Devendra Singh Sachan, et al. ∙

∙ 04/15/2022

Improving Passage Retrieval with Zero-Shot Question Generation

We propose a simple and effective re-ranking method for improving passag...

0 Devendra Singh Sachan, et al. ∙

∙ 06/09/2021

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

We present an end-to-end differentiable training method for retrieval-au...

0 Devendra Singh Sachan, et al. ∙

∙ 01/02/2021

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

Recent work on training neural retrievers for open-domain question answe...

0 Devendra Singh Sachan, et al. ∙

∙ 10/22/2020

Stronger Transformers for Neural Multi-Hop Question Generation

Prior work on automated question generation has almost exclusively focus...

3 Devendra Singh Sachan, et al. ∙

∙ 09/08/2020

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function

In this paper, we study bidirectional LSTM network for the task of text ...

0 Devendra Singh Sachan, et al. ∙

∙ 08/20/2020

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Much recent work suggests that incorporating syntax information from dep...

0 Devendra Singh Sachan, et al. ∙

∙ 09/04/2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

We introduce Texar, an open-source toolkit aiming to support the broad s...

0 Zhiting Hu, et al. ∙

∙ 09/01/2018

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

In multilingual neural machine translation, it has been shown that shari...

0 Devendra Singh Sachan, et al. ∙

∙ 04/17/2018

When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

The performance of Neural Machine Translation (NMT) systems often suffer...

0 Ye Qi, et al. ∙

∙ 04/17/2018

When and Why are Pre-trainedWord Embeddings Useful for Neural Machine Translation?

The performance of Neural Machine Translation (NMT) systems often suffer...

0 Ye Qi, et al. ∙

∙ 03/01/2018

XNMT: The eXtensible Neural Machine Translation Toolkit

This paper describes XNMT, the eXtensible Neural Machine Translation too...

0 Graham Neubig, et al. ∙

∙ 01/19/2018

Investigating the Working of Text Classifiers

Text classification is one of the most widely studied task in natural la...

0 Devendra Singh Sachan, et al. ∙

∙ 11/21/2017

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition

Biomedical named entity recognition (NER) is a fundamental task in text ...

0 Devendra Singh Sachan, et al. ∙

∙ 08/02/2015

Class Vectors: Embedding representation of Document Classes

Distributed representations of words and paragraphs as semantic embeddin...

0 Devendra Singh Sachan, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world