Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

Speaking American: A History of English in the United States

By Richard W. Bailey

"Takes a novel approach to the history of American English by focusing on hotbeds of linguistic activity throughout American history."


New from Cambridge University Press!

ad

Language, Literacy, and Technology

By Richard Kern

"In this book, Richard Kern explores how technology matters to language and the ways in which we use it. Kern reveals how material, social and individual resources interact in the design of textual meaning, and how that interaction plays out across contexts of communication, different situations of technological mediation, and different moments in time."


Academic Paper


Title: Follow-up question handling in the IMIX and Ritel systems: A comparative study
Author: B. W. Van Schooten
Institution: University of Twente
Author: Rieks Op Den Akker
Institution: University of Twente
Author: S. Rosset
Institution: Spoken Language Processing Group (TLP)
Author: O. Galibert
Institution: Spoken Language Processing Group (TLP)
Author: A. Max
Institution: Spoken Language Processing Group (TLP)
Author: G. Illouz
Institution: Spoken Language Processing Group (TLP)
Linguistic Field: Discourse Analysis; Text/Corpus Linguistics
Abstract: One of the basic topics of question answering (QA) dialogue systems is how follow-up questions should be interpreted by a QA system. In this paper, we shall discuss our experience with the IMIX and Ritel systems, for both of which a follow-up question handling scheme has been developed, and corpora have been collected. These two systems are each other's opposites in many respects: IMIX is multimodal, non-factoid, black-box QA, while Ritel is speech, factoid, keyword-based QA. Nevertheless, we will show that they are quite comparable, and that it is fruitful to examine the similarities and differences. We shall look at how the systems are composed, and how real, non-expert, users interact with the systems. We shall also provide comparisons with systems from the literature where possible, and indicate where open issues lie and in what areas existing systems may be improved. We conclude that most systems have a common architecture with a set of common subtasks, in particular detecting follow-up questions and finding referents for them. We characterise these tasks using the typical techniques used for performing them, and data from our corpora. We also identify a special type of follow-up question, the discourse question, which is asked when the user is trying to understand an answer, and propose some basic methods for handling it.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 15, Issue 1, which you can READ on Cambridge's site or on LINGUIST .



Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page