Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Viewing morphology as an inference process
Artificial Intelligence - Special issue on Intelligent internet systems
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
The disambiguation of nominalizations
Computational Linguistics
Using Syntactic Dependency-Pairs Conflation to Improve Retrieval Performance in Spanish
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
How Effective is Stemming and Decompounding for German Text Retrieval?
Information Retrieval
Stemming and lemmatization in the clustering of finnish text documents
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Binary lexical relations for text representation in information retrieval
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Abordagem não supervisionada para extração de conceitos a partir de textos
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Expansão de consulta por pseudo realimentação no modelo TR+ para recuperação de informação
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Evaluation of normalization techniques in text classification for portuguese
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
The PUCRS NLP-group participation in CLEF2006: information retrieval based on linguistic resources
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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The recognition of morphological variation and conceptual proximity of the words is crucial for tasks where the lexical normalization is used, such as term generation and matching in an information retrieval environment. We present tools that automatically perform nominalization for lexical normalization in Portuguese. Comparing the effects of three alternative strategies (stemming, lemmatizing, and our proposal: nominalization), we demonstrate through an experimental evaluation that nominalization, as lexical normalization, contributes to the performance improvement in a probabilistic information retrieval approach for Portuguese.