Statistical Language and Speech Processing 5th International Conference, SLSP 2017, Le Mans, France, October 23-25, 2017, Proceedings / [electronic resource] :
edited by Nathalie Camelin, Yannick Estève, Carlos Martín-Vide.
- 1st ed. 2017.
- XI, 276 p. 58 illus. online resource.
- Lecture Notes in Artificial Intelligence, 10583 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 10583 .
Language and information extraction -- Post-processing and applications of automatic transcriptions -- Speech paralinguistics and synthesis -- Speech recognition: modeling and resources.
This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions. The papers cover topics such as anaphora and conference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semanticweb; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling. They are organized in the following sections: language and information extraction; post-processing and applications of automatic transcriptions; speech paralinguistics and synthesis; speech recognition: modeling and resources.
9783319684567
10.1007/978-3-319-68456-7 doi
Artificial intelligence. Data mining. Pattern recognition systems. Machine theory. Computer science. Application software. Artificial Intelligence. Data Mining and Knowledge Discovery. Automated Pattern Recognition. Formal Languages and Automata Theory. Theory of Computation. Computer and Information Systems Applications.