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.
@article{arxiv.1707.08939,
title = {Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis},
author = {Kyunghyun Cho},
journal= {arXiv preprint arXiv:1707.08939},
year = {2017}
}
Comments
A builder entry 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