TAILIEUCHUNG - Báo cáo khoa học: "Grammatical Role Labeling with Integer Linear Programming"

In this paper, we present a formalization of grammatical role labeling within the framework of Integer Linear Programming (ILP). We focus on the integration of subcategorization information into the decision making process. We present a first empirical evaluation that achieves competitive precision and recall rates. | Grammatical Role Labeling with Integer Linear Programming Manfred Klenner Institute of Computational Linguistics University of Zurich klenner@ Abstract In this paper we present a formalization of grammatical role labeling within the framework of Integer Linear Programming ILP . We focus on the integration of subcategorization information into the decision making process. We present a first empirical evaluation that achieves competitive precision and recall rates. 1 Introduction An often stressed point is that the most widely used classifiers such as Naive Bayes HMM and Memory-based Learners are restricted to local decisions only. With grammatical role labeling for example there is no way to explicitly express global constraints that say the verb to give must have 3 arguments of a particular grammatical role. Among the approaches to overcome this restriction . that allow for global theory based constraints Integer Linear Programming ILP has been applied to NLP Punyakanok et al. 2004 . We apply ILP to the problem of grammatical relation labeling . given two . a verb and a np what is the grammatical relation between them if there is any . We have trained a maximum entropy classifier on vectors with morphological syntactic and positional information. Its output is utilized as weights to the ILP component which generates equations to solve the following problem Given subcategorization frames expressed in functional roles . subject and given a sentence with verbs auxiliary modal finite non-finite . and chunks c np pp label all pairs VUC X VUC with a grammatical role2. In this paper we are pursuing two empirical scenarios. The first is to collapse all subcategoriza Currently we use perfect chunks that is chunks stemming from automatically flattening a treebank. 2Most of these pairs do not stand in a proper grammatical relation they get a null class assignment. tion frames of a verb into a single one comprising all subcategorized roles of .

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