Ryuichi Takanobu | DeepAI

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∙ 08/16/2022

Manual-Guided Dialogue for Flexible Conversational Agents

How to build and use dialogue data efficiently, and how to deploy models...

0 Ryuichi Takanobu, et al. ∙

∙ 06/22/2021

End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management

Current task-oriented dialog (TOD) systems mostly manage structured know...

0 Silin Gao, et al. ∙

∙ 12/30/2020

Robustness Testing of Language Understanding in Dialog Systems

Most language understanding models in dialog systems are trained on a sm...

0 Jiexi Liu, et al. ∙

∙ 12/30/2020

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Pre-trained Language Models (PLMs) have shown strong performance in vari...

17 Yujia Qin, et al. ∙

∙ 10/20/2020

Bridging the Gap between Conversational Reasoning and Interactive Recommendation

There have been growing interests in building a conversational recommend...

0 Wenchang Ma, et al. ∙

∙ 10/12/2020

MultiWOZ 2.3: A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation

Task-oriented dialogue systems have made unprecedented progress with mul...

0 Ting Han, et al. ∙

∙ 05/15/2020

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation

There is a growing interest in developing goal-oriented dialog systems w...

0 Ryuichi Takanobu, et al. ∙

∙ 04/08/2020

Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition

Many studies have applied reinforcement learning to train a dialog polic...

0 Ryuichi Takanobu, et al. ∙

∙ 03/17/2020

Recent Advances and Challenges in Task-oriented Dialog System

Due to the significance and value in human-computer interaction and natu...

0 Zheng Zhang, et al. ∙

∙ 08/28/2019

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog

Dialog policy decides what and how a task-oriented dialog system will re...

0 Ryuichi Takanobu, et al. ∙

∙ 06/25/2019

Deep Conversational Recommender in Travel

When traveling to a foreign country, we are often in dire need of an int...

4 Lizi Liao, et al. ∙

∙ 04/18/2019

ConvLab: Multi-Domain End-to-End Dialog System Platform

We present ConvLab, an open-source multi-domain end-to-end dialog system...

6 Sungjin Lee, et al. ∙

∙ 02/24/2019

Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning

In this paper, we investigate the task of aggregating search results fro...

0 Ryuichi Takanobu, et al. ∙

∙ 11/09/2018

A Hierarchical Framework for Relation Extraction with Reinforcement Learning

Most existing methods determine relation types only after all the entiti...

0 Ryuichi Takanobu, et al. ∙

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