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» Learning for Semantic Parsing
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ACL
2010
13 years 6 months ago
Transition-Based Parsing with Confidence-Weighted Classification
We show that using confidence-weighted classification in transition-based parsing gives results comparable to using SVMs with faster training and parsing time. We also compare wit...
Martin Haulrich
ACL
2001
13 years 10 months ago
Automated Parser Construction from a Treebank by means of TBL and ILP
Considering the difficulties inherent in the manual construction of natural language parsers, we have designed and implemented our system GRIND which is capable of learning a sequ...
Miloslav Nepil
EMNLP
2009
13 years 6 months ago
Chinese Semantic Role Labeling with Shallow Parsing
Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We fir...
Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang
COLING
2010
13 years 3 months ago
Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet
Supervised semantic role labeling (SRL) systems are generally claimed to have accuracies in the range of 80% and higher (Erk and Pad
Alexis Palmer, Caroline Sporleder
ICFP
2002
ACM
14 years 8 months ago
Packrat parsing: : simple, powerful, lazy, linear time, functional pearl
Packrat parsing is a novel technique for implementing parsers in a lazy functional programming language. A packrat parser provides the power and flexibility of top-down parsing wi...
Bryan Ford