Paweł Budzianowski | DeepAI

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∙ 07/04/2023

Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data

Manually annotating fine-grained slot-value labels for task-oriented dia...

0 Guangzhi Sun, et al. ∙

∙ 04/28/2022

EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification

Knowledge-based authentication is crucial for task-oriented spoken dialo...

0 Georgios P. Spithourakis, et al. ∙

∙ 04/27/2022

NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue

We present NLU++, a novel dataset for natural language understanding (NL...

0 Iñigo Casanueva, et al. ∙

∙ 04/05/2022

Improved and Efficient Conversational Slot Labeling through Question Answering

Transformer-based pretrained language models (PLMs) offer unmatched perf...

0 Gabor Fuisz, et al. ∙

∙ 09/21/2021

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models

Transformer-based language models (LMs) pretrained on large text collect...

5 Ivan Vulić, 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. ∙

∙ 09/16/2019

Domain Transfer in Dialogue Systems without Turn-Level Supervision

Task oriented dialogue systems rely heavily on specialized dialogue stat...

0 Joachim Bingel, et al. ∙

∙ 09/03/2019

PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking

We present PolyResponse, a conversational search engine that supports ta...

0 Matthew Henderson, et al. ∙

∙ 07/12/2019

Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems

Data scarcity is a long-standing and crucial challenge that hinders quic...

0 Paweł Budzianowski, et al. ∙

∙ 06/04/2019

Training Neural Response Selection for Task-Oriented Dialogue Systems

Despite their popularity in the chatbot literature, retrieval-based mode...

0 Matthew Henderson, et al. ∙

∙ 04/13/2019

A Repository of Conversational Datasets

Progress in Machine Learning is often driven by the availability of larg...

0 Matthew Henderson, 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. ∙

∙ 07/17/2018

Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing

Robust dialogue belief tracking is a key component in maintaining good q...

0 Osman Ramadan, 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. ∙

∙ 05/17/2018

Neural User Simulation for Corpus-based Policy Optimisation for Spoken Dialogue Systems

User Simulators are one of the major tools that enable offline training ...

0 Florian Kreyssig, 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. ∙

∙ 02/11/2018

Sample Efficient Deep Reinforcement Learning for Dialogue Systems with Large Action Spaces

In spoken dialogue systems, we aim to deploy artificial intelligence to ...

0 Gellért Weisz, et al. ∙

∙ 11/30/2017

Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation

In statistical dialogue management, the dialogue manager learns a policy...

0 Christopher Tegho, et al. ∙

∙ 11/29/2017

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management

Dialogue assistants are rapidly becoming an indispensable daily aid. To ...

0 Iñigo Casanueva, et al. ∙

∙ 07/19/2017

Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning

Reinforcement learning is widely used for dialogue policy optimization w...

0 Stefan Ultes, et al. ∙

∙ 07/01/2017

Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management

Deep reinforcement learning (RL) methods have significant potential for ...

0 Pei-Hao Su, et al. ∙

∙ 06/19/2017

Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning

Human conversation is inherently complex, often spanning many different ...

0 Paweł Budzianowski, et al. ∙

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