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» Using Linguistic Principles to Recover Empty Categories
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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
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
LREC
2010
144views Education» more  LREC 2010»
13 years 6 months ago
Empty Categories in a Hindi Treebank
We are in the process of creating a multi-representational and multi-layered treebank for Hindi/Urdu (Palmer et al., 2009), which has three main layers: dependency structure, pred...
Archna Bhatia, Rajesh Bhatt, Bhuvana Narasimhan, M...
ISDA
2010
IEEE
13 years 2 months ago
Improving statistical parsing by linguistic regularization
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on whic...
Igor Malioutov, Robert C. Berwick
CORR
1998
Springer
125views Education» more  CORR 1998»
13 years 4 months ago
Some Ontological Principles for Designing Upper Level Lexical Resources
The purpose of this paper is to explore some semantic problems related to the use of linguistic ontologies in information systems, and to suggest some organizing principles aimed ...
Nicola Guarino