Towards a Better Understanding of Applied Textual Entailment: Annotation and Evaluation of the RTE-2 Dataset

By Konstantina Garoufi. 2007

27 citations recorded by the source corpus.

Subfields: Natural Language Processing, Evaluation & Benchmarks

How researchers see this paper

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

In Natural Language Processing

1. Subhro Roy
2. Dan Roth
3. Tim Vieira
4. Luke S. Zettlemoyer
5. Tom Kwiatkowski
6. Ellie Pavlick
7. Ashish Sabharwal
8. Jonathan Berant

In Evaluation & Benchmarks

1. Dan Roth
2. Tom Kwiatkowski
3. Subhro Roy
4. Tim Vieira
5. Ellie Pavlick
6. Tal Linzen
7. Matt Gardner

Citations in the corpus

• Reasoning about Quantities in Natural Language (2015, background): “Quantities have been recognized as an important part of a textual entailment system (de Marneffe et al., 2008; Maccartney and Manning, 2008; Garoufi, 2007; Sammons et al., 2010), and (de Marneffe et al.”
• Inherent Disagreements in Human Textual Inferences (2019, background): “Garoufi (2007) provides an overview of attempts that have been made to circumscribe the annotation process by providing finer-grained annotation options, in order to bring it more in line with the sentence-meaning task definition.”