Abstract
This chapter presents the conclusions and discuss directions for future work based on the unsupervised approach presented here.
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References
Cortez, E., da Silva, A., Gonçalves, M., & de Moura, E. (2010). ONDUX: On-demand unsupervised learning for information extraction. In Proceedings of the ACM SIGMOD International Conference on Management of Data Conference, USA (pp. 807–818). Indianapolis, USA.
Cortez, E., & da Silva, A. S. (2010). Unsupervised strategies for information extraction by text segmentation. In Proceedings of the SIGMOD PhD Workshop on Innovative Database Research, USA (pp. 49–54). Indianapolis, USA.
Li, X., Wang, Y.-Y., & Acero, A. (2009). Extracting structured information from user queries with semi-supervised conditional random fields. In Proceedings of the International ACM SIGIR Conference on Research & Development of Information Retrieval, USA (pp. 572–579). Boston, USA.
Mesquita, F., da Silva, A., de Moura, E., Calado, P., & Laender, A. (2007). LABRADOR: Efficiently publishing relational databases on the web by using keyword-based query interfaces. Information Processing and Management, 43(4), 983–1004.
Porto, A., Cortez, E., da Silva, A. S., & de Moura, E. S. (2011). Unsupervised information extraction with the ondux tool. In Simpsio Brasileiro de Banco de Dados, Brasil. Florianpolis, Brasil.
Toda, G., Cortez, E., da Silva, A. S., & de Moura, E. S. (2010). A probabilistic approach for automatically filling form-based web interfaces. Proceedings of the VLDB Endowment, 4(3), 151–160.
Toda, G., Cortez, E., Mesquita, F., da Silva, A., Moura, E., & Neubert, M. (2009). Automatically filling form-based web interfaces with free text inputs. In Proceedings of the WWW International World Wide Web Conferences, Spain (pp. 1163–1164). Madrid, Spain.
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Cortez, E., da Silva, A.S. (2013). Conclusions and Future Work. In: Unsupervised Information Extraction by Text Segmentation. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-02597-1_7
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DOI: https://doi.org/10.1007/978-3-319-02597-1_7
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