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arXiv · 1905.01739

HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings

Saba Anwar·Dmitry Ustalov·Nikolay Arefyev·Simone Paolo Ponzetto·Chris Biemann·Alexander Panchenko
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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 (QasemiZadeh 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.

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Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko. 2019-05-05. HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings. https://doi.org/10.18653/v1%2Fs19-2018

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