We describe a statistical approach for modeling dialogue acts in conversational speech, ie,
speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement …

Identifying whether an utterance is a statement, question, greeting, and so forth is integral to
effective automatic understanding of natural dialog. Little is known, however, about how …

The structure of a discourse is reflected in many aspects of its linguistic realization, including
its lexical, prosodic, syntactic, and semantic nature. Multiparty dialog contains a particular …

We describe a new approach for statistical modeling and detection of discourse structure for
natural conversational speech. Our model is based on 42 dialog acts (DAs),(question …

Pragmatically important information as eg dialogue acts that describe the illocution of an
utterance depend in traditional processing approaches on error prone syntactic/semantic …

We present an incremental lattice generation approach to speech act detection for
spontaneous and overlap** speech in telephone conversations (CallHome Spanish). At …

With pervasive computing, we envision a future in which computation becomes part of the
environment. The computer forms (workstation, personal computer, personal digital …

This paper describes a way of using intonation and dialog context to improve the
performance of an automatic speech recognition (ASR) system. Our experiments were run …

In this study, we investigate the process of generating single-sentence representations for
the purpose of Dialogue Act (DA) classification, including several aspects of text pre …

Prosody is an important cue for identifying dialog acts. In this paper, we show that modeling
the sequence of acoustic–prosodic values as n-gram features with a maximum entropy …