Search Results for author: Saba Anwar

Found 3 papers, 1 papers with code

Generating Lexical Representations of Frames using Lexical Substitution

no code implementations PaM 2020 Saba Anwar, Artem Shelmanov, Alexander Panchenko, Chris Biemann

We investigate a simple yet effective method, lexical substitution with word representation models, to automatically expand a small set of frame-annotated sentences with new words for their respective roles and LUs.


SCoT: Sense Clustering over Time: a tool for the analysis of lexical change

no code implementations EACL 2021 Christian Haase, Saba Anwar, Seid Muhie Yimam, Alexander Friedrich, Chris Biemann

There are two main approaches to the exploration of dynamic networks: the discrete one compares a series of clustered graphs from separate points in time.

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

1 code implementation SEMEVAL 2019 Saba Anwar, Dmitry Ustalov, Nikolay Arefyev, Simone Paolo Ponzetto, Chris Biemann, Alexander Panchenko

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).

Frame Word Embeddings

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