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Derivations under different grammar formalisms allow extraction of various dependency structures. Particularly, bilexical deep dependency structures beyond surface tree representation can be derived f...
This article presents an algorithm for translating the Penn Treebank into a corpus of Combinatory Categorial Grammar (CCG) derivations augmented with local and long-range word–word dependencies. The ...
Feature structures are used to convey linguistic information in a variety of linguistic formalisms. Various definitions of feature structures exist; one dimension of variation is typing: unlike...
Putting knowledge in its place:A scheme for programming parallel processing structures on the fly.
Query understanding has been well studied in the areas of information retrieval and spoken language understanding (SLU). There are generally three layers of query understanding: domain classification,...
Convolution kernels support the modeling of complex syntactic information in machine-learning tasks. However, such models are highly sensitive to the type and size of syntac-tic structure used. It is ...
The aim of this empirical study is to evaluate information structures in hypertexts and their effect on reading comprehension. This comparison of how well students comprehend three different structure...
In this article, we proposed Categorial Grammar based on feature structure and semantic lifting for mutiple-level syntactic-semantic analysis. A sentence, in fact, is a syntacticlly and semanticlly...

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