Machine Learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Machine Learning
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Syllables and other String Kernel Extensions
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Text classification using string kernels
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Kernel methods for relation extraction
The Journal of Machine Learning Research
An empirical study of smoothing techniques for language modeling
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Measures of distributional similarity
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Extracting causal knowledge from a medical database using graphical patterns
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Protein homology detection using string alignment kernels
Bioinformatics
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Automatic Discovery of Part-Whole Relations
Computational Linguistics
Similarity of Semantic Relations
Computational Linguistics
Ontologizing semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Characterising measures of lexical distributional similarity
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A shortest path dependency kernel for relation extraction
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
RelEx---Relation extraction using dependency parse trees
Bioinformatics
Learning for information extraction: from named entity recognition and disambiguation to relation extraction
Semantic types of some generic relation arguments: detection and evaluation
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
A graph kernel for protein-protein interaction extraction
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Semantic classification with distributional kernels
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Semantic classification with WordNet kernels
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
SemEval-2007 task 04: classification of semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CMU-AT: semantic distance and background knowledge for identifying semantic relations
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
ILK: machine learning of semantic relations with shallow features and almost no data
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
MELB-KB: nominal classification as noun compound interpretation
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UCB: system description for SemEval task #4
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UCD-PN: classification of semantic relations between nominals using WordNet and web counts
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UC3M: classification of semantic relations between nominals using sequential minimal optimization
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UIUC: a knowledge-rich approach to identifying semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Knowledge derived from wikipedia for computing semantic relatedness
Journal of Artificial Intelligence Research
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Comparative experiments on learning information extractors for proteins and their interactions
Artificial Intelligence in Medicine
Applying spelling error correction techniques for improving semantic role labelling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Measuring semantic distance using distributional profiles of concepts
Measuring semantic distance using distributional profiles of concepts
Efficient convolution kernels for dependency and constituent syntactic trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Brief communication: Hidden Markov models and optimized sequence alignments
Computational Biology and Chemistry
Developing Position Structure-Based Framework for Chinese Entity Relation Extraction
ACM Transactions on Asian Language Information Processing (TALIP)
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This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we introduce local alignment kernels and explore various possibilities of using them for this task. We give a definition of a local alignment (LA) kernel based on the Smith-Waterman score as a sequence similarity measure and proceed with a range of possibilities for computing similarity between elements of sequences. We show how distributional similarity measures obtained from unlabeled data can be incorporated into the learning task as semantic knowledge. Our experiments suggest that the LA kernel yields promising results on various biomedical corpora outperforming two baselines by a large margin. Additional series of experiments have been conducted on the data sets of seven general relation types, where the performance of the LA kernel is comparable to the current state-of-the-art results.