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The Social Origins of Language

By Daniel Dor

Presents a new theoretical framework for the origins of human language and sets key issues in language evolution in their wider context within biological and cultural evolution


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Preposition Placement in English: A Usage-Based Approach

By Thomas Hoffmann

This is the first study that empirically investigates preposition placement across all clause types. The study compares first-language (British English) and second-language (Kenyan English) data and will therefore appeal to readers interested in world Englishes. Over 100 authentic corpus examples are discussed in the text, which will appeal to those who want to see 'real data'


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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 .



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