25 citations · 40 across the 3 of their papers we have counts for
6 papers · 1 filter
Recent Advances in End-to-End Spoken Language Understanding
Natalia Tomashenko, Antoine Caubriere, Yannick Esteve +2
This work investigates spoken language understanding (SLU) systems in the scenario when the semantic information is extracted directly from the speech signal by means of a single e…
Deep Retrieval-Based Dialogue Systems: A Short Review
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin +1
Building dialogue systems that naturally converse with humans is being an attractive and an active research domain. Multiple systems are being designed everyday and several dataset…
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability
Antoine Caubrière, Natalia Tomashenko, Antoine Laurent +3
We present an end-to-end approach to extract semantic concepts directly from the speech audio signal. To overcome the lack of data available for this spoken language understanding…
End-to-end named entity extraction from speech
Sahar Ghannay, Antoine Caubrière, Yannick Estève +2
Named entity recognition (NER) is among SLU tasks that usually extract semantic information from textual documents. Until now, NER from speech is made through a pipeline process th…
Extraction of domain-specific bilingual lexicon from comparable corpora: compositional translation and ranking
Estelle Delpech, Béatrice Daille, Emmanuel Morin +1
This paper proposes a method for extracting translations of morphologically constructed terms from comparable corpora. The method is based on compositional translation and exploits…
Identification of Fertile Translations in Medical Comparable Corpora: a Morpho-Compositional Approach
Estelle Delpech, Béatrice Daille, Emmanuel Morin +1
This paper defines a method for lexicon in the biomedical domain from comparable corpora. The method is based on compositional translation and exploits morpheme-level translation e…