1.3k citations · 12.3k across the 104 of their papers we have counts for
6 papers · 2 filters
Improving Abstraction in Text Summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong +1
Abstractive text summarization aims to shorten long text documents into a human readable form that contains the most important facts from the original document. However, the level…
The Natural Language Decathlon: Multitask Learning as Question Answering
Bryan McCann, Nitish Shirish Keskar, Caiming Xiong +1
Deep learning has improved performance on many natural language processing (NLP) tasks individually. However, general NLP models cannot emerge within a paradigm that focuses on the…
Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher +1
Neural models for question answering (QA) over documents have achieved significant performance improvements. Although effective, these models do not scale to large corpora due to t…
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard Socher
Dialogue state tracking, which estimates user goals and requests given the dialogue context, is an essential part of task-oriented dialogue systems. In this paper, we propose the G…
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong +1
Domain adaptation plays an important role for speech recognition models, in particular, for domains that have low resources. We propose a novel generative model based on cyclic-con…
An Analysis of Neural Language Modeling at Multiple Scales
Stephen Merity, Nitish Shirish Keskar, Richard Socher
Many of the leading approaches in language modeling introduce novel, complex and specialized architectures. We take existing state-of-the-art word level language models based on LS…