%0 Conference Proceedings %T HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings %A Anwar, Saba %A Ustalov, Dmitry %A Arefyev, Nikolay %A Ponzetto, Simone Paolo %A Biemann, Chris %A Panchenko, Alexander %Y May, Jonathan %Y Shutova, Ekaterina %Y Herbelot, Aurelie %Y Zhu, Xiaodan %Y Apidianaki, Marianna %Y Mohammad, Saif M. %S Proceedings of the 13th International Workshop on Semantic Evaluation %D 2019 %8 June %I Association for Computational Linguistics %C Minneapolis, Minnesota, USA %F anwar-etal-2019-hhmm %X We present our system for semantic frame induction that showed the best performance in Subtask B.1 and finished as the runner-up in Subtask A of the SemEval 2019 Task 2 on unsupervised semantic frame induction (Qasem-iZadeh et al., 2019). Our approach separates this task into two independent steps: verb clustering using word and their context embeddings and role labeling by combining these embeddings with syntactical features. A simple combination of these steps shows very competitive results and can be extended to process other datasets and languages. %R 10.18653/v1/S19-2018 %U https://aclanthology.org/S19-2018 %U https://doi.org/10.18653/v1/S19-2018 %P 125-129