Semantic Annotation for Textual Entailment Recognition

By Assaf Toledo, Sophia Katrenko, Stavroula Alexandropoulou, Heidi Klockmann, Asher Stern, Ido Dagan, Yoad Winter. 2012

17 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Douwe Kiela
2. Samuel R. Bowman
3. Adina Williams
4. Mohit Bansal
5. Marco Baroni
6. Christopher D. Manning
7. Yonatan Belinkov
8. Luke S. Zettlemoyer

Citations in the corpus

• Continual Few-Shot Learning for Text Classification (2021, neutral): “5%, respectively, which is a high, acceptable level as per previous work (Toledo et al., 2012; Williams et al., 2020).”
• A SICK cure for the evaluation of compositional distributional semantic models (2014, background): “Somewhere in between the FraCaS and RTE data sets lies the work by Toledo et al. (2012).”
• ANLIzing the Adversarial Natural Language Inference Dataset (2020, methodology): “BASIC consists of sta- ple types of reasoning, such as lexical hyponymy and hypernymy (see also Glockner et al. 2018b), conjunction (see also Toledo et al. 2012; Saha et al. 2020), and negation.”