@inproceedings{jang-etal-2018-interpretable,
title = "Interpretable Word Embedding Contextualization",
author = "Jang, Kyoung-Rok and
Myaeng, Sung-Hyon and
Kim, Sang-Bum",
editor = "Linzen, Tal and
Chrupa{\l}a, Grzegorz and
Alishahi, Afra",
booktitle = "Proceedings of the 2018 {EMNLP} Workshop {B}lackbox{NLP}: Analyzing and Interpreting Neural Networks for {NLP}",
month = nov,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5442/",
doi = "10.18653/v1/W18-5442",
pages = "341--343",
abstract = "In this paper, we propose a method of calibrating a word embedding, so that the semantic it conveys becomes more relevant to the context. Our method is novel because the output shows clearly which senses that were originally presented in a target word embedding become stronger or weaker. This is possible by utilizing the technique of using sparse coding to recover senses that comprises a word embedding."
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%0 Conference Proceedings
%T Interpretable Word Embedding Contextualization
%A Jang, Kyoung-Rok
%A Myaeng, Sung-Hyon
%A Kim, Sang-Bum
%Y Linzen, Tal
%Y Chrupała, Grzegorz
%Y Alishahi, Afra
%S Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F jang-etal-2018-interpretable
%X In this paper, we propose a method of calibrating a word embedding, so that the semantic it conveys becomes more relevant to the context. Our method is novel because the output shows clearly which senses that were originally presented in a target word embedding become stronger or weaker. This is possible by utilizing the technique of using sparse coding to recover senses that comprises a word embedding.
%R 10.18653/v1/W18-5442
%U https://aclanthology.org/W18-5442/
%U https://doi.org/10.18653/v1/W18-5442
%P 341-343
Markdown (Informal)
[Interpretable Word Embedding Contextualization](https://aclanthology.org/W18-5442/) (Jang et al., EMNLP 2018)
ACL
- Kyoung-Rok Jang, Sung-Hyon Myaeng, and Sang-Bum Kim. 2018. Interpretable Word Embedding Contextualization. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 341–343, Brussels, Belgium. Association for Computational Linguistics.