In this paper, we focus on the problem of multi-target stance detection. We present a new dataset that we built for this task. Furthermore, ...
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In this paper, we focus on the problem of multi-target stance detection. We present a new dataset that we built for this task. Furthermore, ...
Mar 18, 2020 · The dataset consists of German, French and Italian text, allowing for a cross-lingual evaluation of stance detection. It contains 67 000 ...
Multi-target stance data to accompany this paper: Parinaz Sobhani, Diana Inkpen & Xiaodan Zhu (2017). “A Dataset for Multi-Target Stance Classification”.
The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.
It focuses on modeling the dependencies of multiple targets within the same text sample, while our approach focuses on learning stance detection from many.
We propose a token level stance detection dataset with 2025 labeled tweets. The multiple targets of stances in the tweet are tagged at a token level.
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A Dataset for Multi-Target Stance Detection - ResearchGate
www.researchgate.net › publication › 31...
Multi-target studies attempt to use a single stance detection model for multiple targets and have been used in studies examining support/disapproval towards ...
It explores using neural models to jointly learn stance towards two related targets. The dataset will help facilitate research on multi-target stance ...
A large-scale stance detection dataset from comments written by candidates of elections in Switzerland, consisting of German, French and Italian text, ...