Overview of BioNLP'09 shared task on event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
SemEval-2010 task 8: multi-way classification of semantic relations between pairs of nominals
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
UNITN: Part-of-speech counting in relation extraction
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
FBK_NK: A WordNet-based system for multi-way classification of semantic relations
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
JU: A supervised approach to identify semantic relations from paired nominals
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
TUD: Semantic relatedness for relation classification
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
FBK-IRST: Semantic relation extraction using Cyc
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
ISTI@SemEval-2 task #8: Boosting-based multiway relation classification
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UTD: Classifying semantic relations by combining lexical and semantic resources
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Combining heterogeneous knowledge resources for improved distributional semantic models
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
A model for composing semantic relations
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Using grammar rule clusters for semantic relation classification
RELMS '11 Proceedings of the ACL 2011 Workshop on Relational Models of Semantics
Overview of BioNLP Shared Task 2011
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Large-scale noun compound interpretation using bootstrapping and the web as a corpus
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Unsupervised acquisition of axioms to paraphrase noun compounds and genitives
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
SemEval-2012 task 2: measuring degrees of relational similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
PATTY: a taxonomy of relational patterns with semantic types
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Semantic compositionality through recursive matrix-vector spaces
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Empirical methods for the study of denotation in nominalizations in spanish
Computational Linguistics
Semantic interpretation of noun compounds using verbal and other paraphrases
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
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SemEval-2 Task 8 focuses on Multi-way classification of semantic relations between pairs of nominals. The task was designed to compare different approaches to semantic relation classification and to provide a standard testbed for future research. This paper defines the task, describes the training and test data and the process of their creation, lists the participating systems (10 teams, 28 runs), and discusses their results.