EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Scaling Consensus: Increasing Decentralization in Wikipedia Governance
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
French EuroWordNet Lexical Database Improvements
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Wiktionary and NLP: improving synonymy networks
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
Using the Wiktionary graph structure for synonym detection
People's Web '09 Proceedings of the 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources
Wisdom of crowds versus wisdom of linguists – measuring the semantic relatedness of words
Natural Language Engineering
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Invariants and variability of synonymy networks: self mediated agreement by confluence
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Language Resources and Evaluation
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The lack of large-scale, freely available and durable lexical resources, and the consequences for NLP, is widely acknowledged but the attempts to cope with usual bottlenecks preventing their development often result in dead-ends. This article introduces a language-independent, semi-automatic and endogenous method for enriching lexical resources, based on collaborative editing and random walks through existing lexical relationships, and shows how this approach enables us to overcome recurrent impediments. It compares the impact of using different data sources and similarity measures on the task of improving synonymy networks. Finally, it defines an architecture for applying the presented method to Wiktionary and explains how it has been implemented.