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Everyday conversation requires listeners to quickly recognize verbal actions, so-called speech acts, from the underspecified linguistic code and prepare a relevant response within the tight time const...
The use of virtual reality (VR) as a methodological tool is becoming increasingly popular in behavioral research as its flexibility allows for a wide range of applications. This new method has not bee...
Most previous work on trainable language generation has focused on two paradigms: (a) using a generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted gene...
We address the problem of dynamically modeling and adapting to unknown users in resource-scarce domains in the context of interactive spoken dialogue systems. As an example, we show how a system can l...
We present a series of studies of affirmative cue words—a family of cue words such as “okay” or “alright" that speakers use frequently in conversation. These words pose a challenge for spoken ...
In this article we focus on human–human multi-tasking dialogues, in which pairs of conversants, using speech, work on an ongoing task while occasionally completing real-time tasks. The ongoing task i...
We present a new data-driven methodology for simulation-based dialogue strategy learning, which allows us to address several problems in the field of automatic optimization of dialogue strateg...
We propose a method for learning dialogue management policies from a fixed data set. The method addresses the challenges posed by Information State Update (ISU)-based dialogue systems, which r...
In this article we use well-known machine learning methods to tackle a novel task, namely the classification of non-sentential utterances (NSUs) in dialogue. We introduce a fine-grained ...
This article focuses on the analysis and prediction of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system. We describe our labeling procedure of...
Building Coherence and Cohesion by Maite Taboada presents a detailed account olected aspects of the discourse of scheduling dialogs, which are conversations between two people trying to arrange a mee...
Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and ...
The problem of pragmatics arises as soon as we move beyond the linguistic analysis of an utterance and ask what the speaker meant by it. Now, speaker’s meaning is a particular case of intention, and a...
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our ...
This commentary argues that linguistic cooperation is essential even in discourse situations in which the nonlinguistic preferences of the participants are misaligned. The central examples involve ind...

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