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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.

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Correspondence to Eli Cortez .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02596-4

  • Online ISBN: 978-3-319-02597-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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