MultiSem is a research project funded by the French National Research Agency (ANR). It aims to propose novel advanced models for multilingual semantic processing capable of adapting processing to the disambiguaton needs of specific lexical items, contexts and textual genres. To achieve this goal, the proposed models will combine robust machine learning methods with traditional vector-space and knowledge-based approaches to ambiguity resolution, and will be assisted by ambiguity type detection and genre identification mechanisms developed during the project.
MultiSem is funded by the ANR Young Researcher Program (JCJC) (ANR-16-CE33-0013). The project is five years, from 2016 to 2021.