TITLE: I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews 

ABSTRACT: Counterfactual statements describe events that did not or cannot take place.
We consider the problem of counterfactual detection (CFD) in product reviews.
For this purpose, we annotate a multilingual CFD dataset from Amazon product
reviews covering counterfactual statements written in English, German, and
Japanese languages. The dataset is unique as it contains counterfactuals in
multiple languages, covers a new application area of e-commerce reviews, and
provides high quality professional annotations. We train CFD models using
different text representation methods and classifiers. We find that these
models are robust against the selectional biases introduced due to cue
phrase-based sentence selection. Moreover, our CFD dataset is compatible with
prior datasets and can be merged to learn accurate CFD models. Applying machine
translation on English counterfactual examples to create multilingual data
performs poorly, demonstrating the language-specificity of this problem, which
has been ignored so far.
Counterfactual statements describe events that did not or cannot take place.
We consider the problem of counterfactual detection (CFD) in product reviews.
For this purpose, we annotate a multilingual CFD dataset from Amazon product
reviews covering counterfactual statements written in English, German, and
Japanese languages. The dataset is unique as it contains counterfactuals in
multiple languages, covers a new application area of e-commerce reviews, and
provides high quality professional annotations. We train CFD models using
different text representation methods and classifiers. We find that these
models are robust against the selectional biases introduced due to cue
phrase-based sentence selection. Moreover, our CFD dataset is compatible with
prior datasets and can be merged to learn accurate CFD models. Applying machine
translation on English counterfactual examples to create multilingual data
performs poorly, demonstrating the language-specificity of this problem, which
has been ignored so far.
I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Reviews
http://arxiv.org/abs/2104.06893v2