The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Automatic labeling of semantic roles
Computational Linguistics
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
The necessity of parsing for predicate argument recognition
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Kernel-based pronoun resolution with structured syntactic knowledge
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A composite kernel to extract relations between entities with both flat and structured features
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Semantic role labeling via FrameNet, VerbNet and PropBank
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Speeding up training with tree kernels for node relation labeling
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Analyzing models for semantic role assignment using confusability
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Exploring syntactic features for relation extraction using a convolution tree kernel
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Extracting relation information from text documents by exploring various types of knowledge
Information Processing and Management: an International Journal
A hybrid convolution tree kernel for semantic role labeling
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Learning a meta-level prior for feature relevance from multiple related tasks
Proceedings of the 24th international conference on Machine learning
Extracting semantics in a clinical scenario
ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
Information Processing and Management: an International Journal
Tree kernels for semantic role labeling
Computational Linguistics
Advanced Tree-Based Kernels for Protein Classification
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Classification of Documents Based on the Structure of Their DOM Trees
Neural Information Processing
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
ACM Transactions on Asian Language Information Processing (TALIP)
Dependency Analysis of Clauses Using Parse Tree Kernels
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Computer Speech and Language
Shallow Semantic Parsing Based on FrameNet, VerbNet and PropBank
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Semantic Tree Kernels to classify Predicate Argument Structures
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
The extraction of enriched protein-protein interactions from biomedical text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Semantic role recognition using kernels on weighted marked ordered labeled trees
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Semantic role labeling via tree kernel joint inference
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Exploiting constituent dependencies for tree kernel-based semantic relation extraction
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Prediction of maximal projection for semantic role labeling
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using Graph-Kernels to Represent Semantic Information in Text Classification
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Loss minimization in parse reranking
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Engineering of syntactic features for shallow semantic parsing
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Improving Chinese semantic role classification with hierarchical feature selection strategy
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Syntactic kernels for natural language learning: the semantic role labeling case
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Exploiting rich syntactic information for relation extraction from biomedical articles
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
CMU-AT: semantic distance and background knowledge for identifying semantic relations
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CUNIT: a semantic role labeling system for modern standard Arabic
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
FBK-IRST: kernel methods for semantic relation extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
RTV: tree kernels for thematic role classification
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Verb subcategorization kernels for automatic semantic labeling
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Similarity between pairs of co-indexed trees for textual entailment recognition
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Kernel methods for minimally supervised wsd
Computational Linguistics
Efficient kernels for sentence pair classification
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Recognizing implicit discourse relations in the Penn Discourse Treebank
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Tree kernel-based SVM with structured syntactic knowledge for BTG-based phrase reordering
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Convolution kernels on constituent, dependency and sequential structures for relation extraction
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
A study of convolution tree kernel with local alignment
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Hierarchical semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Tree kernel-based semantic relation extraction with rich syntactic and semantic information
Information Sciences: an International Journal
Combined syntactic and semantic Kernels for text classification
ECIR'07 Proceedings of the 29th European conference on IR research
Variants of tree kernels for XML documents
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Exploring syntactic structural features for sub-tree alignment using bilingual tree kernels
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Kernel based discourse relation recognition with temporal ordering information
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Convolution kernel over packed parse forest
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Modeling organization in student essays
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Resolving event noun phrases to their verbal mentions
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A tree kernel-based unified framework for Chinese zero anaphora resolution
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Automatic detection and classification of social events
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A twin-candidate based approach for event pronoun resolution using composite kernel
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
LivingKnowledge: kernel methods for relational learning and semantic modeling
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part II
Kernel engineering for fast and easy design of natural language applications
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Kernel Engineering for Fast and Easy Design of Natural Language Applications
Kernel-based reranking for named-entity extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Tree kernel-based semantic role labeling with enriched parse tree structure
Information Processing and Management: an International Journal
Multiple kernel learning in protein-protein interaction extraction from biomedical literature
Artificial Intelligence in Medicine
Kernel-based semantic relation detection and classification via enriched parse tree structure
Journal of Computer Science and Technology - Special issue on natural language processing
End-to-end relation extraction using distant supervision from external semantic repositories
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
A study on dependency tree kernels for automatic extraction of protein-protein interaction
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Unified Semantic Role Labeling for Verbal and Nominal Predicates in the Chinese Language
ACM Transactions on Asian Language Information Processing (TALIP)
ACM Transactions on Asian Language Information Processing (TALIP)
Efficient convolution kernels for dependency and constituent syntactic trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
Learning textual entailment on a distance feature space
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Structured lexical similarity via convolution kernels on dependency trees
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning the information status of noun phrases in spoken dialogues
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Tree kernel-based protein-protein interaction extraction from biomedical literature
Journal of Biomedical Informatics
Improve tree kernel-based event pronoun resolution with competitive information
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Structural relationships for large-scale learning of answer re-ranking
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Efficient Graph Kernels for Textual Entailment Recognition
Fundamenta Informaticae - RCRA 2009 Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
When did that happen?: linking events and relations to timestamps
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Combining tree structures, flat features and patterns for biomedical relation extraction
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Inferring the semantic properties of sentences by mining syntactic parse trees
Data & Knowledge Engineering
State-of-the-art kernels for natural language processing
ACL '12 Tutorial Abstracts of ACL 2012
Labeling by landscaping: classifying tokens in context by pruning and decorating trees
Proceedings of the 21st ACM international conference on Information and knowledge management
Detecting concept relations in clinical text: Insights from a state-of-the-art model
Journal of Biomedical Informatics
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In this paper we have designed and experimented novel convolution kernels for automatic classification of predicate arguments. Their main property is the ability to process structured representations. Support Vector Machines (SVMs), using a combination of such kernels and the flat feature kernel, classify Prop-Bank predicate arguments with accuracy higher than the current argument classification state-of-the-art.Additionally, experiments on FrameNet data have shown that SVMs are appealing for the classification of semantic roles even if the proposed kernels do not produce any improvement.