CCG Парсер
Related Papers
Object-Extraction and Question-Parsing using CCG
Accurate dependency recovery has recently been reported for a number of wide-coverage statistical parsers using Combinatory Categorial Grammar (CCG). However, overall figures give no indication of a parser’s performance on …...
The Importance of Supertagging for Wide-Coverage CCG Parsing
This paper describes the role of supertagging in a wide-coverage CCG parser which uses a log-linear model to select an analysis. The supertagger reduces the derivation space over which model …...
Formalism-Independent Parser Evaluation with CCG and DepBank
A key question facing the parsing commu- nity is how to compare parsers which use different grammar formalisms and produce different output. Evaluating a parser on the same resource used …...
Adapting a Lexicalized-Grammar Parser to Contrasting Domains
Most state-of-the-art wide-coverage parsers are trained on newspaper text and suffer a loss of accuracy in other domains, making parser adaptation a pressing issue. In this paper we demonstrate that …...
Faster Parsing by Supertagger Adaptation
We propose a novel self-training method for a parser which uses a lexicalised gram- mar and supertagger, focusing on increas- ing the speed of the parser rather than its accuracy. …...
Linguistic Steganography Using Automatically Generated Paraphrases
This paper describes a method for checking the acceptability of paraphrases in context. We use the Google n-gram data and a CCG parser to certify the paraphrasing grammati- cality and …...
SCHWA: PETE Using CCG Dependencies with the C&C Parser
This paper describes the SCHWA system entered by the University of Sydney in Se- mEval 2010 Task 12 – Parser Evaluation using Textual Entailments (Yuret et al., 2010). Our system …...
A Comparison of Loopy Belief Propagation and Dual Decomposition for Integrated CCG Supertagging and Parsing
Via an oracle experiment, we show that the upper bound on accuracy of a CCG parser is significantly lowered when its search space is pruned using a supertagger, though the …...
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like F- measure. Softmax-margin is a convex objec- tive for such …...
Improved CCG Parsing with Semi-supervised Supertagging
AbstractCurrent supervised parsers are limited by the size of their labelled training data, making improving them with unlabelled data an important goal. We show how a state-of-the-art CCG parser can …...
Higher-order logical inference with compositional semantics
We present a higher-order inference sys- tem based on a formal compositional semantics and the wide-coverage CCG parser. We develop an improved method to bridge between the parser and seman- …...
Human-in-the-Loop Parsing
This paper demonstrates that it is possible for a parser to improve its performance with a hu- man in the loop, by posing simple questions to non-experts. For example, given …...
Max-Margin Incremental CCG Parsing
AbstractIncremental syntactic parsing has been an active research area both for cognitive scientists trying to model human sentence processing and for NLP researchers attempting to combine incremental parsing with language …...