Prediction of maximal projection for Semantic Role Labeling

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Abstract

In Semantic Role Labeling (SRL), arguments are usually limited in a syntax subtree. It is reasonable to label arguments locally in such a sub-tree rather than a whole tree. Lo identify active region of arguments, this paper models Maximal Projection (MP), which is a concept in D-structure from the projection principle of the Principle and Parameters theory. Lhis paper makes a new definition of MP in S-structure and proposes two methods to predict it: the anchor group approach and the single anchor approach. Lhe anchor group approach achieves an accuracy of 87.75% and the single anchor approach achieves 83.63%. Experimental results also indicate that the prediction of MP improves semantic role labeling. © 2008. Licensed under the Creative Commons.

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Sun, W., Sui, Z., & Wang, H. (2008). Prediction of maximal projection for Semantic Role Labeling. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference (Vol. 1, pp. 833–840). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1599081.1599186

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