Papers with BiGRU
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles (2021.eacl-main)
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| Challenge: | Previous work on target-dependent sentiment classification (TSC) has focused on reviews, social media, and other domains where authors tend to express their opinions explicitly. |
| Approach: | They propose a high-quality dataset for TSC on news articles with key differences compared to established datasets. |
| Outcome: | The proposed model improves the state-of-the-art from 81.7 to 83.1 (real-world sentiment distribution) and 82.5 (multi-target sentences) compared to established datasets. |
Numeracy-600K: Learning Numeracy for Detecting Exaggerated Information in Market Comments (P19-1)
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| Challenge: | Numeracy is the ability to predict the magnitude of a numeral at some specific position in a text description. |
| Approach: | They propose to use a dataset to test whether neural network models can learn numeracy . numerability is the ability to predict the magnitude of a numeral at some specific position in a text description. |
| Outcome: | The proposed task can predict the magnitude of a numeral at a specific position in a text description. |