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Enhanced UD Dependencies with Neutralized Diathesis Alternation

What it is about

The paper extends the Enhanced UD scheme in two directions. First, it recovers more arguments of non-finite verbs, so that controlled and raised subjects are explicit. Second, it neutralizes diathesis alternations, so that active, passive and causative uses of a verb share the same argument labels, without any word-sense disambiguation. Both are implemented as deterministic graph-rewriting rules on two French UD treebanks. On a 200-sentence gold set the rules give more than 90 percent F-measure on the enhanced edges that the basic tree does not contain, and about 19 percent of the verb-argument edges in that set are such added edges. The paper stays at the level of surface syntax and treats the result as input for later semantic work.

Ideas

For Mova

The code is en/src/convert.rs and en/seeds/verbal, and the role layer is prag and world. The chapter is 23. Complementation for control and 28. Voice and the passive for the alternation. Measure first the share of verb-argument edges that the rules would add on EWT train.

Topics: Word sense disambiguation · Universal Dependencies

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@inproceedings{candito2017enhanced,
  title = {{Enhanced UD Dependencies with Neutralized Diathesis Alternation}},
  author = {Candito, Marie and Guillaume, Bruno and Perrier, Guy and Seddah, Djamé},
  booktitle = {Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)},
  year = {2017},
  url = {https://aclanthology.org/W17-6507/}
}

References

1 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Anne Abeillé, Danielle Godard, and Philip Miller. 1997. Les causatives en français, un cas de compétition syntaxique [in french]. Langue française, 115(1):62–74. \#\# Conclusion Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, and Noah A Smith. 2016. Many languages, one parser. Trans… find

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