Raphael Shu | DeepAI

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Featured Co-authors

Yi Zhang
258 publications
Kyunghyun Cho
218 publications
Dan Roth
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Nikolaos Pappas
92 publications
Jung-Woo Ha
58 publications
Hong Chen
53 publications
Hideki Nakayama
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Kihyuk Sohn
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Kang Min Yoo
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Xinjian Li
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Jason Lee
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∙ 08/01/2023

DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems

Dialogue act annotations are important to improve response generation qu...

0 Qingyang Wu, et al. ∙

∙ 05/24/2023

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification

Intent classification (IC) plays an important role in task-oriented dial...

0 Mujeen Sung, et al. ∙

∙ 04/25/2023

Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11

With increasing demand for and adoption of virtual assistants, recent wo...

0 James Gung, et al. ∙

∙ 02/16/2023

Conversation Style Transfer using Few-Shot Learning

Conventional text style transfer approaches for natural language focus o...

0 Shamik Roy, et al. ∙

∙ 12/20/2022

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs

Functionality and dialogue experience are two important factors of task-...

0 Raphael Shu, et al. ∙

∙ 05/27/2022

Federated Semi-Supervised Learning with Prototypical Networks

With the increasing computing power of edge devices, Federated Learning ...

0 Woojung Kim, et al. ∙

∙ 04/15/2021

Reward Optimization for Neural Machine Translation with Learned Metrics

Neural machine translation (NMT) models are conventionally trained with ...

0 Raphael Shu, et al. ∙

∙ 02/05/2021

GraphPlan: Story Generation by Planning with Event Graph

Story generation is a task that aims to automatically produce multiple s...

0 Hong Chen, et al. ∙

∙ 09/15/2020

Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation

We propose an efficient inference procedure for non-autoregressive machi...

0 Jason Lee, et al. ∙

∙ 08/20/2019

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior

Although neural machine translation models reached high translation qual...

0 Raphael Shu, et al. ∙

∙ 10/19/2018

Real-time Neural-based Input Method

The input method is an essential service on every mobile and desktop dev...

0 Jiali Yao, et al. ∙

∙ 08/14/2018

Discrete Structural Planning for Neural Machine Translation

Structural planning is important for producing long sentences, which is ...

0 Raphael Shu, et al. ∙

∙ 11/03/2017

Compressing Word Embeddings via Deep Compositional Code Learning

Natural language processing (NLP) models often require a massive number ...

0 Raphael Shu, et al. ∙

∙ 07/06/2017

Single-Queue Decoding for Neural Machine Translation

Neural machine translation models rely on the beam search algorithm for ...

0 Raphael Shu, et al. ∙

∙ 04/11/2017

Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation

For extended periods of time, sequence generation models rely on beam se...

0 Raphael Shu, et al. ∙

∙ 12/19/2016

An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation

Recently, the attention mechanism plays a key role to achieve high perfo...

0 Raphael Shu, et al. ∙

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