{
  "id": "1805.05202",
  "version": "v1",
  "published": "2018-05-14T14:46:18.000Z",
  "updated": "2018-05-14T14:46:18.000Z",
  "title": "A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing",
  "authors": [
    "Daniel Fernández-González",
    "Carlos Gómez-Rodríguez"
  ],
  "comment": "Proceedings of NAACL-HLT 2018. 7 pages",
  "categories": [
    "cs.CL"
  ],
  "abstract": "We propose an efficient dynamic oracle for training the 2-Planar transition-based parser, a linear-time parser with over 99% coverage on non-projective syntactic corpora. This novel approach outperforms the static training strategy in the vast majority of languages tested and scored better on most datasets than the arc-hybrid parser enhanced with the SWAP transition, which can handle unrestricted non-projectivity.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2018-05-14T14:46:18.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "I.2.7"
    ],
    "keywords": [
      "dependency parsing",
      "efficient dynamic oracle",
      "novel approach outperforms",
      "handle unrestricted non-projectivity",
      "linear-time parser"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 7,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}