@InProceedings{anwar-EtAl:2019:S19-2,
  author    = {Anwar, Saba  and  Ustalov, Dmitry  and  Arefyev, Nikolay  and  Ponzetto, Simone Paolo  and  Biemann, Chris  and  Panchenko, Alexander},
  title     = {HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings},
  booktitle = {Proceedings of the 13th International Workshop on Semantic Evaluation},
  month     = {June},
  year      = {2019},
  address   = {Minneapolis, Minnesota, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {125--129},
  abstract  = {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.},
  url       = {http://www.aclweb.org/anthology/S19-2018}
}