NAACL 2018, Summary of talks

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There was so much happening at NAACL; so many interesting works on all sorts of (old and new) NLP problems. Lots of papers focused on how to generalize the models beyond the conditions during training. In addition, there was workshop on “New Forms of Generalization in Deep Learning and Natural Language Processing”. In that workshop, Yejin Choi pointed out that natural language understanding (NLU) does not generalize to natural language generation (NLG). Another focus of the conference/workshops were on dialogue systems and chatbots. Lots of talks focused on using a knowledge graph in chatbots to have deeper conversations without staying on the topic for the whole conversations.

NAACL-2018

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