Parsing Universal Dependencies without training

conference of the european chapter of the association for computational linguistics, Volume abs/1701.03163, 2017.

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Abstract:

We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step decoding to guarantee that function words are attached as leaf nodes. The parser requires no training, and it is competitive with a delexicalized transfer system....More

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