On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
A maximum entropy approach to natural language processing
Computational Linguistics
The syntactic process
Supertagging: an approach to almost parsing
Computational Linguistics
Immediate-head parsing for language models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Intricacies of Collins' Parsing Model
Computational Linguistics
Head-Driven Statistical Models for Natural Language Parsing
Computational Linguistics
Identifying semantic roles using Combinatory Categorial Grammar
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank
Computational Linguistics
Wide-coverage efficient statistical parsing with ccg and log-linear models
Computational Linguistics
Semantic role labeling: an introduction to the special issue
Computational Linguistics
A global joint model for semantic role labeling
Computational Linguistics
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
Semantic parsing for high-precision semantic role labelling
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Dependency-based syntactic-semantic analysis with PropBank and NomBank
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Combination strategies for semantic role labeling
Journal of Artificial Intelligence Research
Exploiting CCG structures with tree kernels for speculation detection
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
What a parser can learn from a semantic role labeler and vice versa
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Leveraging natural language processing of clinical narratives for phenotype modeling
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Combining constituent and dependency syntactic views for Chinese semantic role labeling
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A Corpus-Based Method to Improve Feature-Based Semantic Role Labeling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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We describe a semantic role labeling system that makes primary use of CCG-based features. Most previously developed systems are CFG-based and make extensive use of a treepath feature, which suffers from data sparsity due to its use of explicit tree configurations. CCG affords ways to augment treepath-based features to overcome these data sparsity issues. By adding features over CCG word-word dependencies and lexicalized verbal subcategorization frames ("supertags"), we can obtain an F-score that is substantially better than a previous CCG-based SRL system and competitive with the current state of the art. A manual error analysis reveals that parser errors account for many of the errors of our system. This analysis also suggests that simultaneous incremental parsing and semantic role labeling may lead to performance gains in both tasks.