Abstract
This chapter presents the application of the ETL approach to semantic role labeling (SRL). The SRL task consists in detecting basic event structures in a given text. Some of these event structures include who did what to whom, when and where. We evaluate the performance of ETL over two English language corpora: CoNLL-2004 and CoNLL-2005. ETL system achieves regular results for the two corpora. However, for the CoNLL-2004 Corpus, our ETL system outperforms the TBL system proposed by Higgins [4]. ETL committee significantly improves the ETL results for the two corpora. This chapter is organized as follows. In Sect. 8.1, we describe the selected corpora. In Sect. 8.2, we detail some modeling configurations used in our SRL system. In Sect. 8.3, we show some configurations used in the machine learning algorithms. Section 8.4 presents the application of ETL for the CoNLL-2004 Corpus. Section 8.5 presents the application of ETL for the CoNLL-2005 Corpus. Finally, Sect. 8.6 presents some concluding remarks.
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dos Santos, C.N., Milidiú, R.L. (2012). Semantic Role Labeling. In: Entropy Guided Transformation Learning: Algorithms and Applications. SpringerBriefs in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-2978-3_8
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DOI: https://doi.org/10.1007/978-1-4471-2978-3_8
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