Global ETD Search
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Showing 1 to 5 of 5 for “"semantic role labeling (SRL)"”.
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Semantic role labeling using rich morphological features
… examine the impact of morphological features on semantic role labeling (SRL) in Modern Standard Arabic. This study provides the first rigorous examination of the effect of individual morphological attributes on the automatic classification of predicate-argument roles in Arabic. I obtain a …
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A schema conversion approach for constructing heterogeneous information networks from documents
… with multi-typed nodes and edges with different semantics are called heterogenous information networks. Since heterogeneous information networks embed more complex information than homogeneous information networks due to their multi-typed nodes and edges, mining such networks has produced richer …
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Exploratory relation extraction in large multilingual data
… analyzing information by drawing upon the clean semantics of structured databases and the abundance of unstructured data. However, practical applications of RE are often characterized by vague and shifting information needs on the one hand and large multilingual datasets of unknown content on the …
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Understanding stories via event sequence modeling
… which requires dealing with multiple aspects of semantics, including actions, entities and emotions, as well as background knowledge. In this thesis, towards the goal of building a NLU system that can model what has happened in stories and predict what would happen in the future, we contribute on …
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Syntax-driven argument identification and multi-argument classification for semantic role labeling
Semantic role labeling is an important stage in systems for Natural Language Understanding. The basic problem is one of identifying who did what to whom for each predicate in a sentence. Thus labeling is a two-step process: identify constituent phrases that are arguments to a predicate, then label …