Corpus ID: 195767313

Event extraction based on open information extraction and ontology

  title={Event extraction based on open information extraction and ontology},
  author={Sihem Sahnoun},
The work presented in this master thesis consists of extracting a set of events from texts written in natural language. For this purpose, we have based ourselves on the basic notions of the information extraction as well as the open information extraction. First, we applied an open information extraction(OIE) system for the relationship extraction, to highlight the importance of OIEs in event extraction, and we used the ontology to the event modeling. We tested the results of our approach with… Expand


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Experiments with the management change event showed how recognition rates are improved by using different generalization tools, and an original learning approach is presented. Expand
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Two simple syntactic and lexical constraints on binary relations expressed by verbs are introduced in the ReVerb Open IE system, which more than doubles the area under the precision-recall curve relative to previous extractors such as TextRunner and woepos. Expand
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Evaluation through manual assessment shows that well-formed propositions of reasonable quality, representing general world knowledge, given in a logical form potentially usable for inference, may be extracted in high volume from arbitrary input sentences. Expand
Open Information Extraction from the Web
Open IE (OIE), a new extraction paradigm where the system makes a single data-driven pass over its corpus and extracts a large set of relational tuples without requiring any human input, is introduced. Expand
Event Extraction for Document-Level Structured Summarization
Event extraction has been well studied for more than two decades, through both the lens of document-level and sentence-level event extraction. However, event extraction methods to date do not yetExpand
An Overview of Event Extraction from Text
This literature survey reviews text mining techniques that are employed for various event extraction purposes and provides general guidelines on how to choose a particular event extraction technique depending on the user, the available content, and the scenario of use. Expand
Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies
  • J. Lamy
  • Computer Science, Medicine
  • Artif. Intell. Medicine
  • 2017
A Python module for ontology-oriented programming that allows access to the entities of an OWL ontology as if they were objects in the programming language, and proposes a simple high-level syntax for managing classes and the associated "role-filler" constraints. Expand