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• W2740805311 abstract "We developed two simple systems for dependency parsing: darc, a transition-based parser, and mstnn, a graph-based parser. We tested our systems in the CoNLL 2017 UD Shared Task, with darc being the official system. Darc ranked 12th among 33 systems, just above the baseline. Mstnn had no official ranking, but its main score was above the 27th. In this paper, we describe our two systems, examine their strengths and weaknesses, and discuss the lessons we learned." @default.
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• W2740805311 date "2017-01-01" @default.
• W2740805311 modified "2023-09-26" @default.
• W2740805311 title "The parse is darc and full of errors: Universal dependency parsing with transition-based and graph-based algorithms" @default.
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• W2740805311 doi "https://doi.org/10.18653/v1/k17-3013" @default.
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