How to encode semantic knowledge: a method for meaning representation and computer-aided acquisition
Computational Linguistics
PAPEL: A Dictionary-Based Lexical Ontology for Portuguese
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Using wiktionary for computing semantic relatedness
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
A study on the semantic relatedness of query and document terms in information retrieval
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
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
Automatic Creation of a Conceptual Base for Portuguese using Clustering Techniques
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Towards the automatic creation of a wordnet from a term-based lexical network
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Automatically enriching a thesaurus with information from dictionaries
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Automatic discovery of fuzzy synsets from dictionary definitions
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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In this paper we compare verb synonym information contained in four public-available lexical-semantic resources for Portuguese: TeP, PAPEL, Wiktionary and OpenThesaurusPT. We quantify the extent to which verb synonymy information in four resources overlaps, and we quantify how much novelty each resource in comparison to the others. We demonstrate that the four resources vary significantly in respect to verb synonymy information. Also, we show that by merging the four resources we can obtain a more comprehensive verb thesaurus. Finally, we suggest that resource merging may actually be required in order to avoid performance and evaluation bias that arise from coverage problems when using only one of these resources.