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LinGO Redwoods: A Rich and Dynamic Treebank for HPSG

What it is about

Not read: this card is written from what is reliably known about the paper, and every idea is marked to check against the text. It is the journal account of the Redwoods treebank, whose 2002 project note has its own card (The LinGO Redwoods Treebank: Motivation and Preliminary Applications). Instead of drawing trees by hand, annotators pick the correct analysis among all the parses of the English Resource Grammar (ERG) by answering binary discriminants: small properties that split the parse forest. The recorded decisions make the treebank dynamic: when the grammar changes, the sentences are reparsed and the old decisions are replayed, so only the sentences where they no longer decide need human attention. One stored analysis yields several views: the full derivation, a phrase-structure tree, the semantics (MRS) and dependencies. The paper also reports parse-selection experiments with statistical models trained on the treebank.

Ideas

For Mova

The code is annot (silver data and gates), en/src/parse.rs (beam), tools/treeagree and treebanks. The chapter is 20. Syntax: the Universal Dependencies frame. The ERG and Redwoods have their own licences; check them in Data and model licences before any use beyond tests.

Topics: Treebanks

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.1007/s11168-004-7430-4

@inproceedings{oepen2004lingo,
  title = {{LinGO Redwoods: A Rich and Dynamic Treebank for HPSG}},
  author = {Oepen, Stephan and Flickinger, Dan and Toutanova, Kristina and Manning, Christopher D.},
  booktitle = {Research on Language and Computation 2(4):575–596},
  year = {2004},
  doi = {10.1007/s11168-004-7430-4},
  url = {https://doi.org/10.1007/s11168-004-7430-4}
}

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