Abstract The LinGO (Linguistic Grammars Online) project's English Resource Grammar and
the LKB grammar development environment are language resources which are freely …

Machine learning based on various forms of inductive inference has been used for a wide
range of problems in natural language processing, with syntactic parsing being one of the …

Reflecting an increased need for stochastic parse selection models over hand-built linguistic
grammars and a lack of appropriately detailed training material, we present the Linguistic …

This paper describes a large on-going effort, nearing completion, which aims to annotate the
text of all of the 25 Wall Street Journal sections included in the Penn Treebank, using a hand …

We describe a chart realization algorithm for Combinatory Categorial Grammar (CCG), and
show how it can be used to efficiently realize a wide range of coordination phenomena …

This work1 presents results on the integration of frame-based representations into the
framework of eXtensible MetaGrammar (XMG). Originally XMG allowed for the description of …

We present new supertaggers trained on English HPSG-based treebanks and test the
effects of the best tagger on parsing speed and accuracy. HPSG treebanks are produced …

We present new supertaggers trained on HPSG-based treebanks. These treebanks feature
high-quality annotation based on a well-developed linguistic theory and include diverse and …

We describe basic concepts and software architectures for the integration of shallow and
deep (linguistics-based, semantics-oriented) natural language processing (NLP) …

This paper describes an extremely lexicalized probabilistic model for fast and accurate
HPSG parsing. In this model, the probabilities of parse trees are defined with only the …