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» Recovering Latent Information in Treebanks
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COLING
2002
13 years 4 months ago
Recovering Latent Information in Treebanks
Many recent statistical parsers rely on a preprocessing step which uses hand-written, corpus-specific rules to augment the training data with extra information. For example, head-...
David Chiang, Daniel M. Bikel
COLING
2010
12 years 11 months ago
Chasing the ghost: recovering empty categories in the Chinese Treebank
Empty categories represent an important source of information in syntactic parses annotated in the generative linguistic tradition, but empty category recovery has only started to...
Yaqin Yang, Nianwen Xue
EMNLP
2006
13 years 6 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner
ACL
2004
13 years 6 months ago
Using Linguistic Principles to Recover Empty Categories
This paper describes an algorithm for detecting empty nodes in the Penn Treebank (Marcus et al., 1993), finding their antecedents, and assigning them function tags, without access...
Richard Campbell
ICSE
2003
IEEE-ACM
14 years 4 months ago
Recovering Documentation-to-Source-Code Traceability Links using Latent Semantic Indexing
An information retrieval technique, latent semantic indexing, is used to automatically identify traceability links from system documentation to program source code. The results of...
Andrian Marcus, Jonathan I. Maletic