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ACL
2011
13 years 18 days ago
Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
Dependency parsing is a central NLP task. In this paper we show that the common evaluation for unsupervised dependency parsing is highly sensitive to problematic annotations. We s...
Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappop...
EMNLP
2009
13 years 6 months ago
Statistical Bistratal Dependency Parsing
We present an inexact search algorithm for the problem of predicting a two-layered dependency graph. The algorithm is based on a k-best version of the standard cubictime search al...
Richard Johansson
COLING
2008
13 years 10 months ago
Learning Reliable Information for Dependency Parsing Adaptation
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
Wenliang Chen, Youzheng Wu, Hitoshi Isahara
EMNLP
2007
13 years 10 months ago
Characterizing the Errors of Data-Driven Dependency Parsing Models
We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
Ryan T. McDonald, Joakim Nivre
ACL
2009
13 years 6 months ago
A Unified Single Scan Algorithm for Japanese Base Phrase Chunking and Dependency Parsing
We describe an algorithm for Japanese analysis that does both base phrase chunking and dependency parsing simultaneously in linear-time with a single scan of a sentence. In this p...
Manabu Sassano, Sadao Kurohashi