Word Sense Induction with Neural biLM and Symmetric Patterns

  title={Word Sense Induction with Neural biLM and Symmetric Patterns},
  author={Asaf Amrami and Yoav Goldberg},
An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substitute vectors. We replace the ngram-based language model (LM) with a recurrent one. Beyond being more accurate, the use of the recurrent LM allows us to effectively query it in a creative way, using what we call dynamic symmetric patterns. The combination of the RNN-LM and the dynamic symmetric patterns results in… CONTINUE READING


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