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20122023
most citedA Deep Reinforced Model for Abstractive Summarization

1.3k citations · 8.8k across the 127 of their papers we have counts for

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Showing 2018 · cs.CLShow all

5 papers · 2 filters

cs.CL2018

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…

cs.CL2018★ 333 cited

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…

cs.CL2018★ 28 cited

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…

cs.CL2018★ 71 cited

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…

cs.CL2018★ 2 cited

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…