The syntactic process
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
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
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Generative models for statistical parsing with Combinatory Categorial Grammar
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Dependency tree kernels for relation extraction
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Using linguistic principles to recover empty categories
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Representing sentence structure in hidden Markov models for information extraction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
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
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
Bivalent Verbs and Their Pragmatic Particularities
NLDB '08 Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems
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
Dependency Analysis of Clauses Using Parse Tree Kernels
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
A novel feature-based approach to Chinese entity relation extraction
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Improving Relation Extraction by Exploiting Properties of the Target Relation
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Learning to rank for quantity consensus queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A graph kernel for protein-protein interaction extraction
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Maximum spanning tree algorithm for non-projective labeled dependency parsing
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
A local alignment kernel in the context of NLP
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - 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
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
A dependency-based word subsequence kernel
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning graph walk based similarity measures for parsed text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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
Dependency Tree Kernels for Relation Extraction from Natural Language Text
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Comparing information extraction pattern models
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Improving semi-supervised acquisition of relation extraction patterns
IEBeyondDoc '06 Proceedings of the Workshop on Information Extraction Beyond The Document
Mining syntactically annotated corpora with XQuery
LAW '07 Proceedings of the Linguistic Annotation Workshop
Exploiting corpus-related ontologies for conceptualizing document corpora
Journal of the American Society for Information Science and Technology
Composite kernels for relation extraction
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
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
Unsupervised relation extraction by mining Wikipedia texts using information from the web
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
Study of kernel-based methods for Chinese relation extraction
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Semantic relation extraction with kernels over typed dependency trees
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Generating image descriptions using dependency relational patterns
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
PRISMATIC: inducing knowledge from a large scale lexicalized relation resource
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Joint entity and relation extraction using card-pyramid parsing
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Modeling organization in student essays
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Using universal linguistic knowledge to guide grammar induction
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Exploiting background knowledge for relation extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A cross-lingual annotation projection approach for relation detection
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Entity-focused sentence simplification for relation extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
ACM Transactions on Information Systems (TOIS)
Using local alignments for relation recognition
Journal of Artificial Intelligence Research
A logic-based approach to relation extraction from texts
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Bootstrapping location relations from text
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Annotating and searching web tables using entities, types and relationships
Proceedings of the VLDB Endowment
Entity relationship extraction based on potential relationship pattern
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Mining comparative opinions from customer reviews for Competitive Intelligence
Decision Support Systems
Kernel-based reranking for named-entity extraction
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Semi-supervised semantic pattern discovery with guidance from unsupervised pattern clusters
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Information extraction from Wikipedia using pattern learning
Acta Cybernetica
SCAD: collective discovery of attribute values
Proceedings of the 20th international conference on World wide web
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
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Kernel-based semantic relation detection and classification via enriched parse tree structure
Journal of Computer Science and Technology - Special issue on natural language processing
A local tree alignment approach to relation extraction of multiple arguments
Information Processing and Management: an International Journal
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
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
Developing Position Structure-Based Framework for Chinese Entity Relation Extraction
ACM Transactions on Asian Language Information Processing (TALIP)
ACM Transactions on Asian Language Information Processing (TALIP)
Extracting relations between diseases, treatments, and tests from clinical data
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Using sequence kernels to identify opinion entities in Urdu
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
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
Biomedical events extraction using the hidden vector state model
Artificial Intelligence in Medicine
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
Using syntactic and semantic structural kernels for classifying definition questions in Jeopardy!
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Relation acquisition using word classes and partial patterns
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structured lexical similarity via convolution kernels on dependency trees
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Relation extraction with relation topics
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Recursive sequence mining to discover named entity relations
IDA'10 Proceedings of the 9th international conference on Advances in Intelligent Data Analysis
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
Clustering techniques for open relation extraction
PhD '12 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium
Hash Subgraph Pairwise Kernel for Protein-Protein Interaction Extraction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Combining flat and structured approaches for temporal slot filling or: how much to compress?
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Tree kernel-based protein-protein interaction extraction from biomedical literature
Journal of Biomedical Informatics
Using a shallow linguistic kernel for drug-drug interaction extraction
Journal of Biomedical Informatics
Extracting information networks from the blogosphere
ACM Transactions on the Web (TWEB)
Dependency trigram model for social relation extraction from news articles
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
User-driven relational models for entity-relation search and extraction
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
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
Reference scope identification in citing sentences
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Improving distantly supervised extraction of drug-drug and protein-protein interactions
ROBUS-UNSUP '12 Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
High precision rule based PPI extraction and per-pair basis performance evaluation
Proceedings of the ACM sixth international workshop on Data and text mining in biomedical informatics
Subgroup detector: a system for detecting subgroups in online discussions
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Verb classification using distributional similarity in syntactic and semantic structures
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Subgroup detection in ideological discussions
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Modeling topic dependencies in hierarchical text categorization
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A graph-based cross-lingual projection approach for weakly supervised relation extraction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Active learning for relation type extension with local and global data views
Proceedings of the 21st ACM international conference on Information and knowledge management
Schema-free structured querying of DBpedia data
Proceedings of the 21st ACM international conference on Information and knowledge management
Contextual Language Models For Ranking Answers To Natural Language Definition Questions
Computational Intelligence
Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel
Information Processing and Management: an International Journal
Extraction of semantic relation based on feature vector from wikipedia
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Classifying Consumer Comparison Opinions to Uncover Product Strengths and Weaknesses
International Journal of Intelligent Information Technologies
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
A new term ranking method based on relation extraction and graph model for text classification
ACSC '11 Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 113
SEED: a framework for extracting social events from press news
Proceedings of the 22nd international conference on World Wide Web companion
Human computing games for knowledge acquisition
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
ICSH'13 Proceedings of the 2013 international conference on Smart Health
Cross-Lingual Annotation Projection for Weakly-Supervised Relation Extraction
ACM Transactions on Asian Language Information Processing (TALIP)
Integrating syntactic and semantic analysis into the open information extraction paradigm
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bricking Semantic Wikipedia by relation population and predicate suggestion
Web Intelligence and Agent Systems
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We present a novel approach to relation extraction, based on the observation that the information required to assert a relationship between two named entities in the same sentence is typically captured by the shortest path between the two entities in the dependency graph. Experiments on extracting top-level relations from the ACE (Automated Content Extraction) newspaper corpus show that the new shortest path dependency kernel outperforms a recent approach based on dependency tree kernels.