Hough is supported by the DUEL project, financially supported by the Agence Nationale de la Research (grant number ANR-13-FRAL-0001) and the Deutsche Forschungsgemainschaft. Much of the work was carried out with support from an EPSRC DTA scholarship at Queen Mary University of London. Purver is partly supported by ConCreTe: the project ConCreTe acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET grant number 61173
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
This paper analyses speech repair clues in spontaneous speech in the MICASE corpus. An algorithm for...
Miscommunication phenomena such as repair in dialogue are important indicators of the quality of com...
Hough J, Purver M. Strongly Incremental Repair Detection. In: Proceedings of the 2014 Conference on...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
This paper describes a statistical corpus study of self-repairs in the disfluency- annotated Switchb...
Howes was supported by the EPSRC-funded PPAT project grant number EP/J501360/1 during this work. Ho...
18th SemDial Workshop on the Semantics and Pragmatics of Dialogue (DialWatt), 1-3 September 2014, Ed...
Speech repairs occur often in spontaneous spo-ken dialogues. The ability to detect and cor-rect thos...
Unrehearsed spoken language often contains disfluencies. In order to correctly interpret a spoken ut...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
This paper analyses speech repair clues in spontaneous speech in the MICASE corpus. An algorithm for...
Miscommunication phenomena such as repair in dialogue are important indicators of the quality of com...
Hough J, Purver M. Strongly Incremental Repair Detection. In: Proceedings of the 2014 Conference on...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
We present STIR (STrongly Incremen-tal Repair detection), a system that de-tects speech repairs and ...
This paper describes a statistical corpus study of self-repairs in the disfluency- annotated Switchb...
Howes was supported by the EPSRC-funded PPAT project grant number EP/J501360/1 during this work. Ho...
18th SemDial Workshop on the Semantics and Pragmatics of Dialogue (DialWatt), 1-3 September 2014, Ed...
Speech repairs occur often in spontaneous spo-ken dialogues. The ability to detect and cor-rect thos...
Unrehearsed spoken language often contains disfluencies. In order to correctly interpret a spoken ut...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
While Transformer-based text classifiers pre-trained on large volumes of text have yielded significa...
This paper analyses speech repair clues in spontaneous speech in the MICASE corpus. An algorithm for...
Miscommunication phenomena such as repair in dialogue are important indicators of the quality of com...