Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis

Kyunghyun Cho


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.
Anthology ID:
W17-5409
Volume:
Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Editors:
Emily Bender, Hal Daumé III, Allyson Ettinger, Sudha Rao
Venue:
WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
59–60
Language:
URL:
https://aclanthology.org/W17-5409
DOI:
10.18653/v1/W17-5409
Bibkey:
Cite (ACL):
Kyunghyun Cho. 2017. Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis. In Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems, pages 59–60, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis (Cho, 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-5409.pdf
Code
 kyunghyuncho/strawman