@inproceedings{amrami-goldberg-2018-word,
title = "Word Sense Induction with Neural bi{LM} and Symmetric Patterns",
author = "Amrami, Asaf and
Goldberg, Yoav",
editor = "Riloff, Ellen and
Chiang, David and
Hockenmaier, Julia and
Tsujii, Jun{'}ichi",
booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
month = oct # "-" # nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D18-1523",
doi = "10.18653/v1/D18-1523",
pages = "4860--4867",
abstract = "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 strong substitute vectors for WSI, allowing to surpass the current state-of-the-art on the SemEval 2013 WSI shared task by a large margin.",
}
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%0 Conference Proceedings
%T Word Sense Induction with Neural biLM and Symmetric Patterns
%A Amrami, Asaf
%A Goldberg, Yoav
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F amrami-goldberg-2018-word
%X 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 strong substitute vectors for WSI, allowing to surpass the current state-of-the-art on the SemEval 2013 WSI shared task by a large margin.
%R 10.18653/v1/D18-1523
%U https://aclanthology.org/D18-1523
%U https://doi.org/10.18653/v1/D18-1523
%P 4860-4867
Markdown (Informal)
[Word Sense Induction with Neural biLM and Symmetric Patterns](https://aclanthology.org/D18-1523) (Amrami & Goldberg, EMNLP 2018)
ACL