The nature of statistical learning theory
The nature of statistical learning theory
Foundations of statistical natural language processing
Foundations of statistical natural language processing
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Kernel methods for relation extraction
The Journal of Machine Learning Research
A novel use of statistical parsing to extract information from text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The necessity of parsing for predicate argument recognition
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
STAR '01 Proceedings of the ACL 2001 Workshop on Sharing Tools and Resources - Volume 15
Dependency tree kernels for relation extraction
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Discriminative slot detection using kernel methods
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks
Adaptive information extraction
ACM Computing Surveys (CSUR)
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
Modeling commonality among related classes in relation extraction
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
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
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Relation extraction and the influence of automatic named-entity recognition
ACM Transactions on Speech and Language Processing (TSLP)
Information Processing and Management: an International Journal
Kernel-based learning for biomedical relation extraction
Journal of the American Society for Information Science and Technology
Hierarchical learning strategy in semantic relation extraction
Information Processing and Management: an International Journal
Foundations and Trends in Databases
A Novel Composite Kernel Approach to Chinese Entity Relation Extraction
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Computer Speech and Language
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Learning noun-modifier semantic relations with corpus-based and WordNet-based features
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Exploiting constituent dependencies for tree kernel-based semantic relation extraction
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Decoding wikipedia categories for knowledge acquisition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Relation detection between named entities: report of a shared task
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Discriminatively Modeling Commonality of Term Types for Extracting Relation from Small Corpora
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Extracting position relations from the web
Proceedings of the eleventh international workshop on Web information and data management
LNLBioNLP '06 Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology
Constituent parsing by classification
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Kernel methods for minimally supervised wsd
Computational Linguistics
Multi-task transfer learning for weakly-supervised relation extraction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
A Multi-view Approach for Relation Extraction
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
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
Tree kernel-based semantic relation extraction with rich syntactic and semantic information
Information Sciences: an International Journal
Combining convolution kernels defined on heterogeneous sub-structures
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Extracting hyponymy relation between Chinese terms
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Clustering-based stratified seed sampling for semi-supervised relation classification
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
Dependency-driven anaphoricity determination for coreference resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A novel composite kernel for finding similar questions in CQA services
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Automatic rule refinement for information extraction
Proceedings of the VLDB Endowment
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Automatic rule learning exploiting morphological features for named entity recognition in Turkish
Journal of Information Science
Kernel-based semantic relation detection and classification via enriched parse tree structure
Journal of Computer Science and Technology - Special issue on natural language processing
Semi-supervised relation extraction with large-scale word clustering
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
ACM Transactions on Asian Language Information Processing (TALIP)
A combination of topic models with max-margin learning for relation detection
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Facilitating pattern discovery for relation extraction with semantic-signature-based clustering
Proceedings of the 20th ACM international conference on Information and knowledge management
Semi-supervised learning for relation extraction in Vietnamese text
Proceedings of the Second Symposium on Information and Communication Technology
Hierarchical learning strategy in relation extraction using support vector machines
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Methodology for bootstrapping relation extraction for the semantic web
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Relation extraction with relation topics
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A hybrid approach for relation extraction aimed at the semantic web
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Relation extraction for monitoring economic networks
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
Multi-view bootstrapping for relation extraction by exploring web features and linguistic features
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Compensating for annotation errors in training a relation extractor
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Open language learning for information extraction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Active learning for relation type extension with local and global data views
Proceedings of the 21st ACM international conference on Information and knowledge management
Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel
Information Processing and Management: an International Journal
Tuple refinement method based on relationship keyword extension
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Learning to predict from textual data
Journal of Artificial Intelligence Research
Travel with Words: An Innovative Vision on Travelling
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Relation extraction and scoring in DeepQA
IBM Journal of Research and Development
A structural approach to extracting Chinese position relations from web pages
Journal of Web Engineering
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Entity relation detection is a form of information extraction that finds predefined relations between pairs of entities in text. This paper describes a relation detection approach that combines clues from different levels of syntactic processing using kernel methods. Information from three different levels of processing is considered: tokenization, sentence parsing and deep dependency analysis. Each source of information is represented by kernel functions. Then composite kernels are developed to integrate and extend individual kernels so that processing errors occurring at one level can be overcome by information from other levels. We present an evaluation of these methods on the 2004 ACE relation detection task, using Support Vector Machines, and show that each level of syntactic processing contributes useful information for this task. When evaluated on the official test data, our approach produced very competitive ACE value scores. We also compare the SVM with KNN on different kernels.