**Identification of multiword expressions off the beaten path : towards MWE-aware semantic parsing**
The recruited post-doc researcher will work at Laboratoire d’Informatique Fondamentale in Marseilles – Luminy. The researcher will work in the ANR project PARSEME-FR (http://parsemefr.lif.univ-mrs.fr). The goal of the project is to build systems for parsing and identification of multiword expressions (MWEs) in French.
MWEs such as “French fries”, “take a break” and “do one’s best” often pose problems for text analysis chains because of their idiosyncratic nature. Among their notably challenging characteristics, they can present irregular syntactic structure, discontinuities and ambiguity. The task of automatic **MWE identification** consists in determining which words are part of a multiword expression, and how they are related to each other.
Considerable progress has been made in the last years to understand and model the interactions between MWE identification and syntactic parsing. However, the interactions between MWEs and **semantic parsing** have not received much emphasis. This is surprising, given that many MWEs breach the principle of semantic compositionality to some extent, requiring special treatment in semantic analysis. Therefore, the **goal of the proposed post-doc project is to develop and evaluate original methods for semantic-aware MWE identification and MWE-aware semantic parsing**. The recruited post-doc will be responsible for the development of a software prototype for MWE identification in French. Nonetheless, the methods implemented therein should be as language independent and universal as possible.
Aix Marseille University
PhD in computer science, natural language processing or similar domain
* Excellent level of written and spoken French and English is required
Duration: 2 years, starting in January 2018 (or earlier)
About Aix-Marseille University
Aix-Marseille University is a public research university located in Provence, southern France.