Peldszus A, Schlangen D. Incremental Construction of Robust but Deep Semantic Representations for Use in Responsive Dialogue Systems. In: Hajičová E, ed. Proceedings of the Coling Workshop on Advances in Discourse Analysis and its Computational Aspects. 2012
Atterer M, Schlangen D. RUBISC – A Robust Unification-Based Incremental Semantic Chunker. In: Proce...
This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utte...
Spoken dialogue systems must allow for robust and efficient interpretation of user utterances. This ...
Hough J, Kennington C, Schlangen D, Ginzburg J. Incremental Semantics for Dialogue Processing: Requi...
International audienceTruly interactive dialogue systems need to construct meaning on at least a wor...
We present a model of semantic processing of spoken language that (a) is robust against ill-formed i...
Schlangen D, Skantze G. A General, Abstract Model of Incremental Dialogue Processing. Dialogue and D...
This paper describes an implemented prototype dialogue model within the Dynamic Syntax (DS) framewor...
This paper describes an implemented model of context-based incremental tactical generation within th...
We present a general architecture for incremental interaction between modules in a speech-tointentio...
Kennington C, Schlangen D. Markov Logic Networks for Incremental Natural Language Understanding. In:...
We present techniques for the incremental interpretation and prediction of utterance meaning in dia...
Dialogue meaning representation formulates natural language utterance semantics in their conversatio...
Schlangen D, Baumann T, Buschmeier H, Kopp S, Skantze G, Yaghoubzadeh R. Middleware for Incremental ...
This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utte...
Atterer M, Schlangen D. RUBISC – A Robust Unification-Based Incremental Semantic Chunker. In: Proce...
This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utte...
Spoken dialogue systems must allow for robust and efficient interpretation of user utterances. This ...
Hough J, Kennington C, Schlangen D, Ginzburg J. Incremental Semantics for Dialogue Processing: Requi...
International audienceTruly interactive dialogue systems need to construct meaning on at least a wor...
We present a model of semantic processing of spoken language that (a) is robust against ill-formed i...
Schlangen D, Skantze G. A General, Abstract Model of Incremental Dialogue Processing. Dialogue and D...
This paper describes an implemented prototype dialogue model within the Dynamic Syntax (DS) framewor...
This paper describes an implemented model of context-based incremental tactical generation within th...
We present a general architecture for incremental interaction between modules in a speech-tointentio...
Kennington C, Schlangen D. Markov Logic Networks for Incremental Natural Language Understanding. In:...
We present techniques for the incremental interpretation and prediction of utterance meaning in dia...
Dialogue meaning representation formulates natural language utterance semantics in their conversatio...
Schlangen D, Baumann T, Buschmeier H, Kopp S, Skantze G, Yaghoubzadeh R. Middleware for Incremental ...
This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utte...
Atterer M, Schlangen D. RUBISC – A Robust Unification-Based Incremental Semantic Chunker. In: Proce...
This paper presents a robust parsing algorithm and semantic formalism for the interpretation of utte...
Spoken dialogue systems must allow for robust and efficient interpretation of user utterances. This ...