Learning Classifiers from Declarative Language
By Shashank Srivastava, Igor Labutov, Tom Michael Mitchell. 2018
Subfields: Natural Language Processing
How researchers see this paper
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In Natural Language Processing
- Mohit Bansal
- Peter Hase
- Kyunghyun Cho
- Yonatan Belinkov
- Ethan Perez
- Kevin Gimpel
- Greg Durrett
- Douwe Kiela
Citations in the corpus
- When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data (2021, methodology): “by constraining the conditional distributions the function can express (Srivastava et al., 2017; 2018), or through placing priors over how features are weighted or extracted (Zaidan et al.”