CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Journal of Intelligent Information Systems
Syllables and other String Kernel Extensions
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Text classification using string kernels
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Natural Language Engineering
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Word Sense Disambiguation: Algorithms and Applications (Text, Speech and Language Technology)
Inducing frame semantic verb classes from WordNet and LDOCE
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Linking Documents to Encyclopedic Knowledge
IEEE Intelligent Systems
Learning to link with wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Collective annotation of Wikipedia entities in web text
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
New features for FrameNet: WordNet mapping
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Automatic induction of FrameNet lexical units
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Automatic construction of an English-Chinese bilingual FrameNet
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Cross-lingual bootstrapping of semantic lexicons: the case of FrameNet
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
SemEval-2007 task 17: English lexical sample, SRL and all words
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
SemEval-2010 task 10: linking events and their participants in discourse
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
Combining word sense and usage for modeling frame semantics
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Assessing the impact of frame semantics on textual entailment
Natural Language Engineering
"All You Can Eat" Ontology-Building: Feeding Wikipedia to Cyc
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Kernel methods for minimally supervised wsd
Computational Linguistics
Wikipedia as frame information repository
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Cross-lingual annotation projection of semantic roles
Journal of Artificial Intelligence Research
Probabilistic frame-semantic parsing
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
BabelNet: building a very large multilingual semantic network
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Generating entailment rules from FrameNet
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
SemEval-2010 task 17: All-words word sense disambiguation on a specific domain
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
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
DBpedia spotlight: shedding light on the web of documents
Proceedings of the 7th International Conference on Semantic Systems
Putting pieces together: combining FrameNet, VerbNet and WordNet for robust semantic parsing
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Automatic assignment of wikipedia encyclopedic entries to wordnet synsets
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Cross-Lingual alignment of framenet annotations through hidden markov models
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
A novel Framenet-based resource for the semantic web
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Artificial Intelligence
Wikification via link co-occurrence
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Many applications in the context of natural language processing have been proven to achieve a significant performance when exploiting semantic information extracted from high-quality annotated resources. However, the practical use of such resources is often biased by their limited coverage. Furthermore, they are generally available only for English and few other languages. We propose a novel methodology that, starting from the mapping between FrameNet lexical units and Wikipedia pages, automatically leverages from Wikipedia new lexical units and example sentences. The goal is to build a reference data set for the semi-automatic development of new FrameNets. In addition, this methodology can be adapted to perform frame identification in any language available in Wikipedia. Our approach relies on a state-of-the-art word sense disambiguation system that is first trained on English Wikipedia to assign a page to the lexical units in a frame. Then, this mapping is further exploited to perform frame identification in English or in any other language available in Wikipedia. Our approach shows a high potential in multilingual settings, because it can be applied to languages for which other lexical resources such as WordNet or thesauri are not available.