Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Computational Linguistics
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Polysemy and sense proximity in the Senseval-2 test suite
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Assessing system agreement and instance difficulty in the lexical sample tasks of SENSEVAL-2
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Sense discrimination with parallel corpora
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Relieving the data acquisition bottleneck in word sense disambiguation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Inter-coder agreement for computational linguistics
Computational Linguistics
QuantMiner: a genetic algorithm for mining quantitative association rules
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Making senses: bootstrapping sense-tagged lists of semantically-related words
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Interlingual annotation of parallel text corpora: A new framework for annotation and evaluation
Natural Language Engineering
The effect of ambiguity on the automated acquisition of WSD examples
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
The manually annotated sub-corpus: a community resource for and by the people
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
What determines inter-coder agreement in manual annotations? a meta-analytic investigation
Computational Linguistics
Multiplicity and word sense: evaluating and learning from multiply labeled word sense annotations
Language Resources and Evaluation
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We present a pilot study of word-sense annotation using multiple annotators, relatively polysemous words, and a heterogenous corpus. Annotators selected senses for words in context, using an annotation interface that presented WordNet senses. Interannotator agreement (IA) results show that annotators agree well or not, depending primarily on the individual words and their general usage properties. Our focus is on identifying systematic differences across words and annotators that can account for IA variation. We identify three lexical use factors: semantic specificity of the context, sense concreteness, and similarity of senses. We discuss systematic differences in sense selection across annotators, and present the use of association rules to mine the data for systematic differences across annotators.