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The Notion of Argument in Prepositional Phrase Attachment

What it is about

The paper treats PP attachment as a four-way problem: verb or noun site, crossed with argument or adjunct. It learns the argument-adjunct distinction from Penn Treebank data, using features that are lexical items, verb and noun classes, and diagnostics taken from linguistic tests of argumenthood. The best feature set reaches 79.8% accuracy for verb-attached PPs, a 37% reduction of error over the baseline. In the four-way task, arguments have 80% precision and 85% recall, and adjuncts have 80% precision and 73% recall. Attachment-site accuracy is 83.6% without "of", and falls only to 82.7% in the four-way setting. For verb arguments, a support vector machine raises the F-score from 36.0% to 55.9%.

Ideas

For Mova

The chapters are 23. Complementation and 22-phrases.md. The code is en/src/expert.rs, en/src/parse.rs and world/src/frames.rs. The data is Penn Treebank, so the paper's tables are for test only; the rule set and the class features must be checked on UD EWT test before any claim.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.1162/coli.2006.32.3.341

@article{merlo2006notion,
  title = {{The Notion of Argument in Prepositional Phrase Attachment}},
  author = {Merlo, Paola and Ferrer, Eva Esteve},
  journal = {Computational Linguistics},
  year = {2006},
  doi = {10.1162/coli.2006.32.3.341},
  url = {https://doi.org/10.1162/coli.2006.32.3.341}
}

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