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ACL
2011
13 years 18 days ago
Effective Measures of Domain Similarity for Parsing
It is well known that parsing accuracy suffers when a model is applied to out-of-domain data. It is also known that the most beneficial data to parse a given domain is data that ...
Barbara Plank, Gertjan van Noord
EACL
1993
ACL Anthology
13 years 10 months ago
Using an Annotated Corpus as a Stochastic Grammar
In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse t...
Rens Bod
ACL
2007
13 years 10 months ago
Generalizing Tree Transformations for Inductive Dependency Parsing
Previous studies in data-driven dependency parsing have shown that tree transformations can improve parsing accuracy for specific parsers and data sets. We investigate to what ex...
Jens Nilsson, Joakim Nivre, Johan Hall
ACL
2006
13 years 10 months ago
Discriminative Classifiers for Deterministic Dependency Parsing
Deterministic parsing guided by treebankinduced classifiers has emerged as a simple and efficient alternative to more complex models for data-driven parsing. We present a systemat...
Johan Hall, Joakim Nivre, Jens Nilsson
COLING
2010
13 years 4 months ago
Using Web-scale N-grams to Improve Base NP Parsing Performance
We use web-scale N-grams in a base NP parser that correctly analyzes 95.4% of the base NPs in natural text. Web-scale data improves performance. That is, there is no data like mor...
Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth W...