Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Christian Dugast"'
Autor:
Christian Dugast, Gérard Gouraud
Publikováno v:
Afrique Archéologie Arts, Vol 11, Pp 49-52 (2015)
Externí odkaz:
https://doaj.org/article/c500f00bcbb24e62a497b1c5103f5f7a
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. :1-10
This paper summarizes our contributions to the document-grounded dialog tasks at the 9th and 10th Dialog System Technology Challenges (DSTC9 and DSTC10). In both iterations the task consists of three subtasks: first detect whether the current turn is
Publikováno v:
Stroudsburg, PA : Association for Computational Linguistics (ACL) 57-62 (2021). doi:10.18653/v1/2021.dialdoc-1.8
The 1st Workshop on Document-grounded Dialogue and Conversational Question Answering-proceeding of the workshop : August 5, 2021, Bangkok, Thailand (online) : DialDoc 2021
The 1st Workshop on Document-grounded Dialogue and Conversational Question Answering-proceeding of the workshop : August 5, 2021, Bangkok, Thailand (online) : DialDoc 20211. Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc 2021, online, 2021-08-05-2021-08-05
The 1st Workshop on Document-grounded Dialogue and Conversational Question Answering-proceeding of the workshop : August 5, 2021, Bangkok, Thailand (online) : DialDoc 2021
The 1st Workshop on Document-grounded Dialogue and Conversational Question Answering-proceeding of the workshop : August 5, 2021, Bangkok, Thailand (online) : DialDoc 20211. Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc 2021, online, 2021-08-05-2021-08-05
This paper summarizes our entries to both subtasks of the first DialDoc shared task which focuses on the agent response prediction task in goal-oriented document-grounded dialogs. The task is split into two subtasks: predicting a span in a document t
Publikováno v:
COLING
Proceedings of the 28th International Conference on Computational Linguistics
Proceedings of the 28th International Conference on Computational Linguistics
Named entity recognition is a key component in various natural language processing systems, and neural architectures provide significant improvements over conventional approaches. Regardless of different word embedding and hidden layer structures of
Publikováno v:
Revue archéologique de l'ouest. 17:37-72
The Vergères site, located on a table-land widely overhanging la Boulogne has revealed a profuse Mesolithic industry from the three rocks traditionnally used in the Bocage in Vendée : quartzite, phtanite and flint. Phtanite is the only local rock b
Autor:
H. Bartosik, Dieter Geller, W. Höllerbauer, Reinhold Haeb-Umbach, Bach-Hiep Tran, Hermann Dr Ney, Ute Essen, Xavier L. Aubert, Christian Dugast, H.-G. Meier, Martin Oerder, Reinhard Kneser, Volker Steinbiss
Publikováno v:
Speech Communication. 17:19-38
This paper gives an overview of the Philips research system for phoneme-based, large-vocabulary, continuousspeech recognition. The system has been successfully applied to various tasks in the German and (American) English languages, ranging from smal
Autor:
Ute Essen, Bach Hiep Tran, Hermann Ney, Reinhard Kneser, Stefan Besling, Hans Günter Meier, Martin Oerder, Dieter Geller, Xavier L. Aubert, Christian Dugast, Volker Steinbiss, Reinhold Haeb-Umbach
Publikováno v:
Philips Journal of Research. 49:317-352
This paper gives an overview of the Philips Research system for continuous-speech recognition. The recognition architecture is based on an integrated statistical approach. The system has been successfully applied to various tasks in American English
Autor:
Christian Dugast
Publikováno v:
Philips Journal of Research. 49:353-366
Large-vocabulary continuous-speech recognition (CSR) technology is at work. As an application of the technology, we will describe a dictation system (DS). Input to the system is unrestricted spontaneous speech. No adaptation, no special skills are re
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 2:217-223
The paper presents a hybrid continuous-speech recognition system that leads to improved results on the speaker dependent DARPA Resource Management task. This hybrid system, called the combined system, is based on a combination of normalized neural ne
Publikováno v:
ICASSP (2)
We report on recent developments of the Philips large vocabulary speech recognition system and on our experiments with the Wall Street Journal (WSJ) corpus. A two-pass decoding has been devised that allows an easy integration of more complex language