Papers by Asaf Amrami

2 papers
Word Sense Induction with Neural biLM and Symmetric Patterns (D18-1)

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Challenge: Existing methods for word sense induction use a language model to predict probable substitutes for target words.
Approach: They propose to use a language model to predict probable substitutes for target words . they replace the ngram-based language model with a recurrent model to generate strong substitute vectors .
Outcome: The proposed method surpasses the current state-of-the-art on the SemEval 2013 task by a large margin.
Bootstrapping Relation Extractors using Syntactic Search by Examples (2021.eacl-main)

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Challenge: Existing methods for supervised relation extraction still require a large quantity of training data.
Approach: They propose a process for bootstrapping training datasets which can be performed quickly by non-NLP-experts.
Outcome: The proposed method outperforms models trained on manual and distant data augmentation techniques and the search-based approach with the NLG method.

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