Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP

Welcome to the ACL Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP (RELNLP). The workshop took place on July 19th 2018, collocated with the 56th Annual Meeting of the Association for Computational Linguistics in Melbourne, Australia.There is a long standing tradition in NLP focusing on fundamental language modeling tasks such as morphological analysis, POS tagging, parsing, WSD or semantic parsing. In the context of end-user NLP tasks, these have played the role of enabling technologies, providing a layer of representation upon which more complex tasks can be built. However, in recent years we have witnessed a number of success stories involving end-to-end architectures trained on large data and making little or no use of a linguisticallyinformed language representation layer. This workshop’s focus was on the role of linguistic structures in the neural network era. We aimed to gauge their significance in building better, more generalizable NLP.