research
∙
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 ...
share
research
∙
04/15/2022
Improving Passage Retrieval with Zero-Shot Question Generation
We propose a simple and effective re-ranking method for improving passag...
research
∙
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...
research
∙
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...
research
∙
10/22/2020
Stronger Transformers for Neural Multi-Hop Question Generation
Prior work on automated question generation has almost exclusively focus...
research
∙
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 ...
research
∙
08/20/2020
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Much recent work suggests that incorporating syntax information from dep...
research
∙
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...
research
∙
09/01/2018
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models
In multilingual neural machine translation, it has been shown that shari...
research
∙
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...
research
∙
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...
research
∙
03/01/2018
XNMT: The eXtensible Neural Machine Translation Toolkit
This paper describes XNMT, the eXtensible Neural Machine Translation too...
research
∙
01/19/2018
Investigating the Working of Text Classifiers
Text classification is one of the most widely studied task in natural la...
research
∙
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 ...
research
∙
08/02/2015
