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المؤلفElloumi, Samir
المؤلفJaoua, Ali
المؤلفFerjani, Fethi
المؤلفSemmar, Nasredine
المؤلفBesançon, Romaric
المؤلفAl-Jaam, Jihad
المؤلفHammami, Helmi
تاريخ الإتاحة2024-03-20T01:55:07Z
تاريخ النشر2013
اسم المنشورJournal of Information Science
المصدرScopus
الرقم المعياري الدولي للكتاب1655515
معرّف المصادر الموحدhttp://dx.doi.org/10.1177/0165551512464140
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53260
الملخصStarting from an ontology of a targeted financial domain corresponding to transaction, performance and management change news, relevant segments of text containing at least a domain keyword are extracted. The linguistic pattern of each segment is automatically generated to serve initially as a learning model. Each pattern is composed of named entities, keywords and articulation words. Some generic named entities like organizations, persons, locations, dates and grammatical annotations are generated by an automatic tool. During the learning step, each relevant segment is manually annotated with respect to the targeted entities (roles) structuring an event of the ontology. Information extraction is processed by associating a role with a specific entity. By alignment of generic entities to specific entities, some strings of a text are automatically annotated. An original learning approach is presented. Experiments with the management change event showed how recognition rates are improved by using different generalization tools.
راعي المشروعThis publication was made possible by a grant from the Qatar National Research Fund NPRP 08-583-1-101. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the QNRF. Also, the authors would like to thank Dr Christopher J. Leonard for proofreading the paper.
اللغةen
الناشرSAGE Publications Ltd
الموضوعautomatic pattern generation
generic model
information extraction levels
management change event
named entities
العنوانGeneral learning approach for event extraction: Case of management change event
النوعArticle
الصفحات211-224
رقم العدد2
رقم المجلد39
dc.accessType Abstract Only


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