Abstract
This chapter presents iForm, a method for automatically using data-rich text for filling form-based input interfaces that rely on the presented unsupervised approach to deal with the Information Extraction by Text Segmentation problem. iForm was first presented in Toda et al. (2009, 2010). In the following is described the scenario where iForm is applied, and the method in detail. A set of experiments is also reported that shows that iForm is effective and works well in different scenarios.
This chapter has previously been published as (Toda et al. 2010); reprinted with permission.
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Notes
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In all of the experiments, we performed a previous training and selected \(\varepsilon =0.2\).
- 2.
In the experiments \(L\) is no greater than 10.
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- 4.
References
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Toda, G., Cortez, E., Mesquita, F., da Silva, A., Moura, E., & Neubert, M. (2009). Automatically filling form-based web interfaces with free text inputs. Proceedings of the WWW International World Wide Web Conferences (pp. 1163–1164). Spain: Madrid.
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Cortez, E., da Silva, A.S. (2013). iForm . In: Unsupervised Information Extraction by Text Segmentation. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-02597-1_6
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DOI: https://doi.org/10.1007/978-3-319-02597-1_6
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