Information States and Dialogue Move Engines

نویسندگان

  • Staffan Larsson
  • Robin Cooper
  • Elisabet Engdahl
  • Peter Ljunglöf
چکیده

Peter Bohlin, Robin Cooper, Elisabet Engdahl, Sta an Larsson Department of linguisti s G oteborg University Box 200, Humanisten, SE-405 30 Goteborg, SWEDEN fpeb, ooper,engdahl,slg ling.gu.se Abstra t We explore the notion of information state in relation to dialogue systems, and in parti ular to the part of a dialogue system we all the dialogue move engine. We use a framework for experimenting with information states and dialogue move engines, and show how an experimental dialogue system urrently being developed in G oteborg within the framework an be provided with rules to handle a ommodation of questions and plans in dialogue. 1 Introdu tion We use the term information state to mean, roughly, the information stored internally by an agent, in this ase a dialogue system. A dialogue move engine updates the information state on the basis of observed dialogue moves and sele ts appropriate moves to be performed. In this paper we use a formal representation of dialogue information states that has been developed in the TRINDI1, SDS2 and INDI3 proje ts4. The stru ture of this paper is as follows: First, we give a brief des ription of a general dialogue system ar hite ture whi h an be used for experimenting with di erent kinds of information states and dialogue move engines. We explain the distin tion between stati and dynami information state, and dis uss how rules formulated in terms of onditions and operations on in1TRINDI (Task Oriented Instru tional Dialogue), EC Proje t LE4-8314, www.ling.gu.se/resear h/proje ts/trindi/ 2SDS (Swedish Dialogue Systems), NUTEK/HSFR Language Te hnology Proje t F1472/1997, http://www.ida.liu.se/ nlplab/sds/ 3INDI (Information Ex hange in Dialogue), Riksbankens Jubileumsfond 1997-0134. 4We will illustrate our dis ussion from a Swedish dialogue in the travel booking domain that has been olle ted by the University of Lund as part of the SDS proje t. We quote the trans ription done in G oteborg as part of the same proje t. formation states an be used to (1) update information states based on observed dialogue moves and (2) sele t dialogue moves based on the urrent information state. We present a parti ular notion of dynami information state based on Ginzburg's theory of Questions Under Dis ussion (QUD) [Ginzburg, 1996a; 1996b; 1998℄. An experimental dialogue system whi h uses this notion of information state is presented. We then look at the role of a ommodation in information state transitions and point to examples of two kinds of a ommodation: a ommodation of questions under dis ussion and of dialogue plan. Finally, we argue that a ommodation should be asso iated with update rules, or ta it moves (not asso iated with an utteran e), and show how the implementation of these rules yields improved behaviour in the experimental dialogue system. 2 General ar hite ture The general ar hite ture we are assuming is shown in (1). (1)

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

GoDiS - An Accommodating Dialogue System

This paper accompanies a demo of the GoDiS system. Work on~hi~ system was reported at IJCAI-99 (Bohlin et-al.~ 1999). GoDiS is a prototype dialogue system for information-seeking dialogue, capable of accommodating questions and tasks to enable the user to present information in any desired order, without explicitly naming the dialogue task. GoDiS is implemented using the TRINDIKIT software pack...

متن کامل

Using information state to improve dialogue move identification in a spoken dialogue system

In this paper we investigate how to improve the performance of a dialogue move and parameter tagger for a taskoriented dialogue system using the information-state approach. We use a corpus of utterances and information states from an implemented system to train and evaluate a tagger, and then evaluate the tagger in an on-line system. Use of information state context is shown to improve performa...

متن کامل

Learning More Effective Dialogue Strategies Using Limited Dialogue Move Features

We explore the use of restricted dialogue contexts in reinforcement learning (RL) of effective dialogue strategies for information seeking spoken dialogue systems (e.g. COMMUNICATOR (Walker et al., 2001)). The contexts we use are richer than previous research in this area, e.g. (Levin and Pieraccini, 1997; Scheffler and Young, 2001; Singh et al., 2002; Pietquin, 2004), which use only slot-based...

متن کامل

Partial Information in Multimodal Dialogue

Much research has been directed towards developing mul-timodal interfaces in the past twenty years. Many current multimodal systems, however, can only handle multimodal inputs at the sentence level. The move towards multimodal dialogue signiicantly increases the complexity of the system as the representations of the input now range over time and input modality. We developed a framework to addre...

متن کامل

Intonation and dialogue context as constraints for speech recognition

This paper describes a way of using intonation and dialogue context to improve the performance of an automatic speech recognition (ASR) system. Our experiments were run on the DCIEM Maptask corpus, a corpus of spontaneous task-oriented dialogue speech. This corpus has been tagged according to a dialogue analysis scheme that assigns each utterance to one of 12 “move types”, such as “acknowledge”...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Electron. Trans. Artif. Intell.

دوره 3  شماره 

صفحات  -

تاریخ انتشار 1999