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Detection and Resolution of Verb Phrase Ellipsis

What it is about

The paper describes ViPER, a rule-based system that detects and resolves VP ellipsis. It uses syntactic parallelism, modality correlations and the split between core and peripheral sentence constituents. Its key claim is that some cases are easy enough to resolve with high confidence before full semantic understanding exists. It was run on Gigaword. Of 26,988 candidate sentences, 18,027 remained after pruning false positives such as homonyms, parentheticals and idioms. Annotators judged 393 treatable examples: 239 (61%) were fully correct, 75 (19%) partly correct and 80 (20%) incorrect. For 320 of the 393 (81%), all three annotators chose the same resolution. The best single strategy, a parallel-modal rule without trimming, was correct on 45 of 55 examples (82%).

Ideas

For Mova

The code is en/src/expert.rs, en/src/explain.rs and annot. The chapters are 29. Ellipsis, word order and information structure and 24. Coordination and subordination (parallelism). The Gigaword source is licensed data, so use only the test material that the licence allows. Measure first: the correct, partial and incorrect split for the parallel-modal rule on a sample we may test on.

Cite

The paper itself, not this card. BibTeX from the library's record of the work. DOI 10.33011/lilt.v13i.1385

@inproceedings{mcshane2016detection,
  title = {{Detection and Resolution of Verb Phrase Ellipsis}},
  author = {McShane, Marjorie and Babkin, Petr},
  booktitle = {Linguistic Issues in Language Technology},
  year = {2016},
  doi = {10.33011/lilt.v13i.1385},
  url = {https://doi.org/10.33011/lilt.v13i.1385}
}

References

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