Multiword Expressions (MWEs) are a ubiquitous component of natural languages. The automated processing of MWEs is desirable for any natural language application that involves some degree of semantic interpretation, e.g., Machine Translation, Information Extraction, and Question Answering. In spite of the recent advances in the field, there is a wide range of open problems that prevent MWE treatment techniques from full integration in current NLP systems. We thus asked for original research related but not limited to the following topics: MWE resources, hybrid approaches, domain adaptation, and multilingualism. We received 18 submissions, and we were only able to accept eight full papers for oral presentation: an acceptance rate of 44%. We further accepted four papers as posters. The regular papers were distributed in three sessions: Lexical Representation, Identification and Extraction, and Applications. The workshop also featured two invited talks, by Kyo Kageura and by Aravind K. Joshi, and a panel discussion.