Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing

This workshop takes place for the first time and has a focus on research around modeling commonsense knowledge, developing computational models thereof, and applying commonsense inference methods in NLP tasks. This includes any type of commonsense knowledge representation, and explicitly also work that makes use of knowledge bases and approaches developed to mine or learn commonsense from other sources. Evaluation proposals that explore new ways of evaluating methods of commonsense inference, going beyond established natural language processing tasks are also of interest for the workshop.