Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 11 of 11 for “"Semantic Role Labeling"”.
-
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 …
-
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 …
-
Dependency-based Semantic Analysis of Natural-language Text
Semantic roles, logical relations such as Agent or Instrument that hold between events and their participants and circumstances, need to be determined automatically by several types of applications in natural language processing. This process is referred to as semantic role labeling. This …
-
Learning and Inference for Information Extraction
… extraction, entity/relation recognition, and semantic role labeling.
-
The semantics of role labeling
The problem of ascribing a semantic representation to text is an important one that can help text understanding problems like textual entailment. In this thesis, we address the problem of assigning a shallow semantic representation to text. This problem is traditionally studied in the context of …
-
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 …
-
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 …
-
Greedy Feature Selection in Tree Kernel Spaces
… question classification, relation extraction and semantic role labeling, confirm the theoretical findings and show that the decoding process can produce very fast and accurate linear classifiers, along with the explicit representation of the most relevant structured features identified for each …
-
Minimal supervision for language learning: bootstrapping global patterns from local knowledge
… in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituents that are candidate arguments, and assign semantic roles to those constituents. Each step depends on prior lexical and syntactic …
-
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 …
-
Domain adaptation with minimal training
… that contain comprehensive coverage of entities, semantic roles and words in English can help a model adapt to the target domain. For the task of semantic role labeling, we show that in the decision phase, we can replace a linguistic unit (e.g. verb, word) with another equivalent linguistic unit …