Bo-Hsiang Tseng | DeepAI

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∙ 07/25/2021

Transferable Dialogue Systems and User Simulators

One of the difficulties in training dialogue systems is the lack of trai...

0 Bo-Hsiang Tseng, et al. ∙

∙ 05/20/2021

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

Anaphora and ellipses are two common phenomena in dialogues. Without res...

0 Bo-Hsiang Tseng, et al. ∙

∙ 06/12/2020

A Generative Model for Joint Natural Language Understanding and Generation

Natural language understanding (NLU) and natural language generation (NL...

0 Bo-Hsiang Tseng, et al. ∙

∙ 11/26/2019

Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling

Dialogue systems benefit greatly from optimizing on detailed annotations...

0 Bo-Hsiang Tseng, et al. ∙

∙ 10/02/2019

Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation

Domain adaptation in natural language generation (NLG) remains challengi...

0 Bo-Hsiang Tseng, et al. ∙

∙ 01/05/2019

Addressing Objects and Their Relations: The Conversational Entity Dialogue Model

Statistical spoken dialogue systems usually rely on a single- or multi-d...

0 Stefan Ultes, et al. ∙

∙ 12/20/2018

Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems

Cross-domain natural language generation (NLG) is still a difficult task...

12 Bo-Hsiang Tseng, et al. ∙

∙ 09/29/2018

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

Even though machine learning has become the major scene in dialogue rese...

0 Paweł Budzianowski, et al. ∙

∙ 09/03/2018

Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy

In recent years, we have seen deep learning and distributed representati...

0 Lina Rojas-Barahona, et al. ∙

∙ 06/14/2018

Nearly Zero-Shot Learning for Semantic Decoding in Spoken Dialogue Systems

This paper presents two ways of dealing with scarce data in semantic dec...

0 Lina M. Rojas Barahona, et al. ∙

∙ 03/08/2018

Feudal Reinforcement Learning for Dialogue Management in Large Domains

Reinforcement learning (RL) is a promising approach to solve dialogue po...

0 Iñigo Casanueva, et al. ∙

∙ 08/23/2016

Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine

Multimedia or spoken content presents more attractive information than p...

0 Bo-Hsiang Tseng, et al. ∙

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