Probing for semantic evidence of composition by means of simple classification tasks. Ettinger, A., Elgohary, A., & Resnik, P. In Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, pages 134–139, Stroudsburg, PA, USA, 2016. Association for Computational Linguistics.
Probing for semantic evidence of composition by means of simple classification tasks [link]Paper  doi  abstract   bibtex   
We propose a diagnostic method for prob-ing specific information captured in vector representations of sentence meaning, via simple classification tasks with strategi-cally constructed sentence sets. We iden-tify some key types of semantic informa-tion that we might expect to be captured in sentence composition, and illustrate ex-ample classification tasks for targeting this information.
@inproceedings{Ettinger2016,
abstract = {We propose a diagnostic method for prob-ing specific information captured in vector representations of sentence meaning, via simple classification tasks with strategi-cally constructed sentence sets. We iden-tify some key types of semantic informa-tion that we might expect to be captured in sentence composition, and illustrate ex-ample classification tasks for targeting this information.},
address = {Stroudsburg, PA, USA},
author = {Ettinger, Allyson and Elgohary, Ahmed and Resnik, Philip},
booktitle = {Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP},
doi = {10.18653/v1/W16-2524},
file = {:Users/shanest/Documents/Library/Ettinger, Elgohary, Resnik/Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP/Ettinger, Elgohary, Resnik - 2016 - Probing for semantic evidence of composition by means of simple classification tasks.pdf:pdf},
keywords = {method: diagnostic classifier,phenomenon: compositionality},
pages = {134--139},
publisher = {Association for Computational Linguistics},
title = {{Probing for semantic evidence of composition by means of simple classification tasks}},
url = {http://aclweb.org/anthology/W16-2524},
year = {2016}
}

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