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Full-Text Articles in Computational Linguistics
Automatic Learning Of Document Section Structure For Ontology-Based Semantic Search, Deya Banisakher
Automatic Learning Of Document Section Structure For Ontology-Based Semantic Search, Deya Banisakher
FIU Electronic Theses and Dissertations
Modeling natural human behavior in understanding written language is crucial for developing true artificial intelligence. For people, words convey certain semantic concepts. While documents represent an abstract concept---they are collections of text organized in some logical structure, that is, sentences, paragraphs, sections, and so on. Similar to words, these document structures, are used to convey a logical flow of semantic concepts. Machines however, only view words as spans of characters and documents as mere collections of free-text, missing any underlying meanings behind words and the logical structure of those documents.
Automatic semantic concept detection is the process by which the …