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The Ypa project (De Roeck et al., 1998) is building a system to make the information in classiied directories more accessible. BT's Yellow Pages 1 provides an example of a classiied database with which this work would be useful. Accessibility in this context means allowing users (or call center operators) to query the Yellow Pages system using Natural(More)
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a larger project to develop computational models of social phenomena such as agenda control , influence, and leadership in on-line interactions. Such models will help capturing the(More)
The development of Embodied Conversational Agents (ECA) as Companions brings several challenges for both affective and conversational dialogue. These include challenges in generating appropriate affective responses, selecting the overall shape of the dialogue, providing prompt system response times and handling interruptions. We present an implementation of(More)
Within the EU-funded COMPANIONS project, we are working to evaluate new collaborative conversational models of dialogue. Such an evaluation requires us to benchmark approaches to companionable dialogue. In order to determine the impact of system strategies on our evaluation paradigm, we need to generate a range of companionable conversations, using dialogue(More)
Evaluation of complex, collaborative dialogue systems is a difficult task. Traditionally, developers have relied upon subjective feedback from the user, and parametrisation over observable metrics. However, both models place some reliance on the notion of a task; that is, the system is helping to user achieve some clearly defined goal, such as book a flight(More)
In this paper, we present an investigation into the use of cue phrases as a basis for dialogue act classification. We define what we mean by cue phrases, and describe how we extract them from a manually labelled corpus of dialogue. We describe one method of evaluating the usefulness of such cue phrases, by applying them directly as a classifier to unseen(More)
We present a natural-language customer service application for a telephone banking call center, developed as part of the AMITIES dialogue project (Automated Multilingual Interaction with Information and Services). Our dialogue system, based on empirical data gathered from real call-center conversations, features data-driven techniques that allow for spoken(More)