On building a more effcient grammar by exploiting types
By Dan Flickinger. 2000
443 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Subhro Roy
- Hannaneh Hajishirzi
- Rik Koncel-Kedziorski
- Francis Bond
- Alexander Kuhnle
- Ann A. Copestake
- Lei Wang
- Dominikus Wetzel
In Natural Language Processing
- Subhro Roy
- Hannaneh Hajishirzi
- Rik Koncel-Kedziorski
- Alexander Kuhnle
- Francis Bond
- Ann A. Copestake
- Dominikus Wetzel
- Lei Wang
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.”
- ShapeWorld - A new test methodology for multimodal language understanding (2017, methodology): “Although we currently use the English Resource Grammar (Flickinger, 2000), other DELPH-IN grammars use a compatible approach, so SHAPEWORLD can easily be ported to other languages.”
- Enriching Parallel Corpora for Statistical Machine Translation with Semantic Negation Rephrasing (2012, methodology): “Hence, the broad-coverage grammar Jacy for Japanese (Bender and Siegel, 2004) and the English Resource Grammar (ERG) (Flickinger, 2000) are used respectively to parse the data and obtain the semantics for each sentence.”
- Accuracy vs. Robustness in Grammar Engineering (2010, background): “The English Resource Grammar (ERG: Flickinger, 2000, Flickinger, Copestake, & Sag, 2000, Copestake & Flickinger, 2000) is a broadcoverage grammar which was started in 1994,1 and which has been under continuous development since then within the Linguistic Grammars Online (LinGO) laboratory at CSLI…”
- Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus (2011, background): “IN English Resource Grammar (ERG; Flickinger (2000))—each reflect-ing decades of continuous development—achieve broad coverage of open-domain running text, for example.”
- Resources for building applications with Dependency Minimal Recursion Semantics (2016, methodology): “Currently, the most used and widest coverage DELPH-IN grammar is the English Resource Grammar (ERG; Flickinger (2000)).”