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Full-Text Articles in Social and Behavioral Sciences
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 …
Competing Semantic And Phonological Constraints In Novel Binomials, Eli George
Competing Semantic And Phonological Constraints In Novel Binomials, Eli George
WWU Honors College Senior Projects
This experiment investigates why certain pairs of words, called “frozen binomials” always appear in the same order. It uses an electronic survey that asks subjects to determine what order they would prefer to say pairs of certain words. Specifically, the experiment tests whether it is the sound of the words or the meaning of the words that determines their order. While the data was inconclusive, it does suggest the existence of deeper rules for the ordering of these words.