SyNaLP (Symbolic and Statistical Natural Language Processing)

Welcome to our research pages!

The Synalp team is located in Nancy, France and is part of the LORIA (Laboratoire Lorrain d'Informatique et ses Applications) research unit.

Our research focuses on hybrid, symbolic and statistical approaches to natural language processing and applications built thereon, including NLP for Man-Machine Dialog, for language learning and for Data Verbalisation.

Current research topics

  • Named Entity Recognition in Transcriptions of Spoken Text
  • Text-to-Speech Alignment
  • Data-to-text Generation
  • Semi-supervised Approaches to Syntactic Parsing and Semantic Role Labelling
  • Emotion Detection and Modelisation in Tweets
  • The investigation and design of advanced weakly supervised machine learning approaches for NLP
  • The application of these weakly supervised methods to several NLP tasks, including syntactic and semantic parsing, named entity recognition, coreference resolution, generation, etc.

Check out information about our team and our research projects.

Please find below some of the most recent team publications. Please note that this list is automatically extracted from HAL, and thus contains errors (duplicate, missing publications...), sorry about that:

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