@inproceedings{cho-2017-strawman,
title = "{S}trawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis",
author = "Cho, Kyunghyun",
editor = "Bender, Emily and
Daum{\'e} III, Hal and
Ettinger, Allyson and
Rao, Sudha",
booktitle = "Proceedings of the First Workshop on Building Linguistically Generalizable {NLP} Systems",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5409",
doi = "10.18653/v1/W17-5409",
pages = "59--60",
abstract = "This paper describes a builder entry, named {``}strawman{''}, to the sentence-level sentiment analysis task of the {``}Build It, Break It{''} shared task of the First Workshop on Building Linguistically Generalizable NLP Systems. The goal of a builder is to provide an automated sentiment analyzer that would serve as a target for breakers whose goal is to find pairs of minimally-differing sentences that break the analyzer.",
}
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%0 Conference Proceedings
%T Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis
%A Cho, Kyunghyun
%Y Bender, Emily
%Y Daumé III, Hal
%Y Ettinger, Allyson
%Y Rao, Sudha
%S Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F cho-2017-strawman
%X This paper describes a builder entry, named “strawman”, to the sentence-level sentiment analysis task of the “Build It, Break It” shared task of the First Workshop on Building Linguistically Generalizable NLP Systems. The goal of a builder is to provide an automated sentiment analyzer that would serve as a target for breakers whose goal is to find pairs of minimally-differing sentences that break the analyzer.
%R 10.18653/v1/W17-5409
%U https://aclanthology.org/W17-5409
%U https://doi.org/10.18653/v1/W17-5409
%P 59-60
Markdown (Informal)
[Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis](https://aclanthology.org/W17-5409) (Cho, 2017)
ACL