Accuracy vs. Robustness in Grammar Engineering

By Dan Flickinger. 2010

Subfields: Natural Language Processing

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. Hannaneh Hajishirzi
3. Rik Koncel-Kedziorski
4. Dan Roth
5. Lei Wang
6. Jacob Andreas
7. Peter Clark
8. Nate Kushman

Citations in the corpus

• MAWPS: A Math Word Problem Repository (2016, methodology): “Our system uses the broad-coverage, linguistically precise English Resource Grammar (ERG) (Flickinger, 2000; Flickinger, 2011) for determining grammaticality.”
• Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data (2020, background): “Mature engineering tools and syntactic resources are available for many major languages (Flickinger, 2011).”