Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar

2014 ◽  
Author(s):  
Jayant Krishnamurthy ◽  
Tom M. Mitchell
Keyword(s):  
Categorial Grammar ◽  
Semantic Parsing ◽  
Combinatory Categorial Grammar

scholarly journals CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank

2007 ◽  
Vol 33 (3) ◽  
pp. 355-396 ◽  
Author(s):  
Julia Hockenmaier ◽  
Mark Steedman
Keyword(s):  
Long Range ◽  
State Of The Art ◽  
Categorial Grammar ◽  
Linguistic Data ◽  
Combinatory Categorial Grammar ◽  
Extensive Analysis ◽  
Dependency Structures

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 resulting corpus, CCGbank, includes 99.4% of the sentences in the Penn Treebank. It is available from the Linguistic Data Consortium, and has been used to train wide-coverage statistical parsers that obtain state-of-the-art rates of dependency recovery. In order to obtain linguistically adequate CCG analyses, and to eliminate noise and inconsistencies in the original annotation, an extensive analysis of the constructions and annotations in the Penn Treebank was called for, and a substantial number of changes to the Treebank were necessary. We discuss the implications of our findings for the extraction of other linguistically expressive grammars from the Treebank, and for the design of future treebanks.

scholarly journals O EFEITO LABIRINTO ALÉM DA SINTAXE: ELIMINANDO A AMBIGÜIDADE

2004 ◽  
Vol 63 ◽  
Author(s):  
Rodrigo Tadeu Gonçalves ◽  
Luiz Arthur Pagani
Keyword(s):  
Present Article ◽  
Sentence Processing ◽  
Categorial Grammar ◽  
Grammatical Structure ◽  
Garden Path ◽  
Combinatory Categorial Grammar ◽  
Incremental Interpretation ◽  
Human Sentence Processing ◽  
Processing Mechanism

O presente artigo trata das chamadas sentenças-labirinto, mostrando que, em casos em que a entoação e a estrutura informacional são suficientemente claras, a ambigüidade gerada pelo mencionado efeito não ocorre. O artigo contribui para a área do processamento lingüístico humano mostrando que, quando faladas, as sentenças das quais se esperam problemas de processamento sérios podem não apresentar tais problemas. A partir de um modelo teórico chamado Gramática Categorial Combinatória, mostramos como o processamento incremental de sentenças é ajudado pelas informações prosódicas e informacionais na atribuição de estrutura gramatical adequada a sentenças tradicionalmente consideradas “labirinto”. Garden-path effect beyond syntax: eliminating ambiguity Abstract The present article deals with the so-called garden-path effect. Traditionally, garden-path sentences are those that cause serious problem for the mental parser during processing and, although they are perfectly grammatical, there is no attribution of grammatical structure to them. We try to show that, when spoken, the garden-path sentences may not present the same kind of problem to the human sentence processing mechanism. In this paper we show how sufficiently informative data regarding prosody and informational structure can help the parser attribute correct grammatical structure to garden-path sentences when they are spoken. Using a framework called Combinatory Categorial Grammar, we show how incremental interpretation of garden-path sentences can be helped by prosody and informational structure during the processing of such sentences.

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