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the claim
Addressing syntactic discontinuity and nonprojectivity is important for computational parsing
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
7 sources for · 0 against

Computational studies consistently demonstrate that addressing syntactic discontinuity and nonprojectivity is essential for accurate and efficient dependency parsing.

Evidence for · 7
2005 · cited by 1,040
Demonstrates that modeling non-projective dependencies increases parsing efficiency and accuracy for languages containing them.
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The analysis

The retrieved papers ([0], [1], [2], [3], [7], [9], [10]) specifically focus on developing and evaluating parsing algorithms for non-projective and discontinuous structures, showing that handling nonprojectivity is important for improving both accuracy and efficiency in computational parsing. There are no papers refuting this claim.

More for · 6
2008 · cited by 489
Shows that non-projective dependency parsing algorithms outperform projective ones in languages with significant non-projective constructions.
2009 · cited by 276
Presents efficient transition systems designed specifically to parse arbitrary non-projective trees with state-of-the-art accuracy.
2007 · cited by 141
Investigates polynomial-time parsing algorithms for non-projective data-driven dependency parsing.
2009 · cited by 27
Develops parsing algorithms specifically tailored for mildly non-projective dependency structures present in treebanks.
2011 · cited by 19
Introduced parsing schemata that describe and analyze new polynomial-time parsing algorithms for mildly non-projective formalisms.
2017 · cited by 8
Explores hybrid grammars designed to handle discontinuous phrase structures and non-projective dependency structures in parsing.
The paper trail · every fact has a biography
first checked04 Aug 2026
judged → SUPPORTED · 9404 Aug 2026
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