In this paper we will present work carried out to scale up the system for text understanding called GETARUNS, and port it to be used in dialogue understanding. The current goal is that of extracting automatically argumentative information in order to build argumentative structure. The long term goal is using argumentative structure to produce automatic summarization of spoken dialogues. Very mu...

The development of a spoken dialogue system requires the integration of the various components of spoken language technology, such as speech recognition, natural language processing, dialogue modelling, and speech synthesis. Recently several toolkits have been developed that provide support for this process, enabling developers who have no specialist knowledge of the component technologies to p...

We have developed an educational environment for a modular spoken dialogue system. The aim of the environment is to provide students, with different backgrounds, means to understand the behaviour of spoken dialogue systems. Focus in this paper is on dialogue and dialogue management. The dialogue is recorded in a dialogue tree whose nodes are dialogue objects. The dialogue objects model the cons...

This paper is concerned with the architectural design and development of a spoken dialogue platform for robots. The platform adopts modular software architecture and event driven communication paradigm which makes speech enabled hardware devices and software components configurable and reusable. The platform is able to integrate heterogeneous dialogue components (such as speech recognizer, natu...

We give an overview of recent exciting achievements of deep reinforcement learning (RL). We start with background of deep learning and reinforcement learning, as well as introduction of testbeds. Next we discuss Deep Q-Network (DQN) and its extensions, asynchronous methods, policy optimization, reward, and planning. After that, we talk about attention and memory, unsupervised learning, and lear...

Human-computer dialogue is already a rather mature research eld [10] that already stemmed to several commercial applications, either service or taskoriented [11]. Nevertheless, several issues remain to be tackled, when unrestricted, spontaneous dialogue is concerned: barge-in (when users interrupt the system or interrupt each other) must be properly handled, hence Voice Activity Detection is a ...

Currently the performance of dialogue system is mostly mearsured based on the analysis of a large dialogue corpus. In this way, the dialogue performance can not be obtained before the system is on line, and the dialogue corpus should be recollected if the system is modified. Also, the effect of different factors, including system’s dialogue strategy, recognition and understanding accuracy or us...

In this paper, we proposed an example-based approach aiming at recovering ill-formed inputs to improve robustness of spoken dialogue systems. In this approach, a treebank, which contains example sentences and their correct parse trees, is used to provide clues for fixing the errors of ill-formed inputs. Particularly, the proposed error recovery method is suitable for spoken dialogue application...

In this demonstration, we present POSSDM (POSTECH Situation based Dialogue Manager) for a spoken dialogue system using a new example and situation based dialogue management techniques for effective generation of appropriate system responses. Spoken dialogue system should generate cooperative responses to smoothly lead the dialogue with users. We introduce a new dialogue management technique inc...

Conventional spoken dialogue systems use frame structure to represent dialogue state. In this paper, we argue that using target distribution to represent dialogue state is much better than using frame structure. Based on the proposed target-based state, two target-based state tracking algorithms are introduced. Experiments in an end-to-end spoken dialogue system with real users are conducted to...