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Jonnalagadda, Siddhartha – ProQuest LLC, 2011
In the current millennium, extensive use of computers and the internet caused an exponential increase in information. Few research areas are as important as information extraction, which primarily involves extracting concepts and the relations between them from free text. Limitations in the size of training data, lack of lexicons and lack of…
Descriptors: Sentences, Semantics, Biomedicine, Information Retrieval
Zhu, Lijuan – ProQuest LLC, 2011
Along with the greater productivity that CAD automation provides nowadays, the product data of engineering applications needs to be shared and managed efficiently to gain a competitive edge for the engineering product design. However, exchanging and sharing the heterogeneous product data is still challenging. This dissertation first presents a…
Descriptors: Knowledge Management, Engineering, Internet, Computer System Design
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Hay, Jessica F.; Pelucchi, Bruna; Estes, Katharine Graf; Saffran, Jenny R. – Cognitive Psychology, 2011
The processes of infant word segmentation and infant word learning have largely been studied separately. However, the ease with which potential word forms are segmented from fluent speech seems likely to influence subsequent mappings between words and their referents. To explore this process, we tested the link between the statistical coherence of…
Descriptors: Novelty (Stimulus Dimension), Infants, Word Recognition, Probability
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Yu, Chong Ho; Jannasch-Pennell, Angel; DiGangi, Samuel – Qualitative Report, 2011
The objective of this article is to illustrate that text mining and qualitative research are epistemologically compatible. First, like many qualitative research approaches, such as grounded theory, text mining encourages open-mindedness and discourages preconceptions. Contrary to the popular belief that text mining is a linear and fully automated…
Descriptors: Grounded Theory, Qualitative Research, Content Analysis, Information Retrieval
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D'Mello, Sidney K.; Dowell, Nia; Graesser, Arthur – Journal of Experimental Psychology: Applied, 2011
There is the question of whether learning differs when students speak versus type their responses when interacting with intelligent tutoring systems with natural language dialogues. Theoretical bases exist for three contrasting hypotheses. The "speech facilitation" hypothesis predicts that spoken input will "increase" learning,…
Descriptors: Intelligent Tutoring Systems, Prior Learning, Natural Language Processing, Tutoring
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Wong, Wing-Kwong; Yin, Sheng-Kai; Yang, Chang-Zhe – International Review of Research in Open and Distance Learning, 2012
This paper presents a tool for drawing dynamic geometric figures by understanding the texts of geometry problems. With the tool, teachers and students can construct dynamic geometric figures on a web page by inputting a geometry problem in natural language. First we need to build the knowledge base for understanding geometry problems. With the…
Descriptors: Accuracy, Geometry, Geometric Concepts, Natural Language Processing
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Karlström, Petter; Lundin, Eva – Computer Assisted Language Learning, 2013
Digital tools are not always used in the manner their designers had in mind. Therefore, it is not enough to assume that learning through CALL tools occurs in intended ways, if at all. We have studied the use of an enhanced word processor for writing essays in Swedish as a second language. The word processor contained natural language processing…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Novelty (Stimulus Dimension), Natural Language Processing
Burk, Robin K. – ProQuest LLC, 2010
Computational natural language understanding and generation have been a goal of artificial intelligence since McCarthy, Minsky, Rochester and Shannon first proposed to spend the summer of 1956 studying this and related problems. Although statistical approaches dominate current natural language applications, two current research trends bring…
Descriptors: Robotics, Artificial Intelligence, Natural Language Processing, Databases
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Graesser, Arthur; McNamara, Danielle – Educational Psychologist, 2010
This article discusses the occurrence and measurement of self-regulated learning (SRL) both in human tutoring and in computer tutors with agents that hold conversations with students in natural language and help them learn at deeper levels. One challenge in building these computer tutors is to accommodate, encourage, and scaffold SRL because these…
Descriptors: Intelligent Tutoring Systems, Metacognition, Tutors, Natural Language Processing
Yang, Li – ProQuest LLC, 2009
Since the seminal work of Gildea and Jurafsky (2000), semantic role labeling (SRL) researchers have been trying to determine the appropriate syntactic/semantic knowledge and statistical algorithms to tackle the challenges in SRL. In search of the appropriate knowledge, SRL researchers shifted from constituency grammar to dependency grammar around…
Descriptors: Semantics, Verbs, Syntax, Natural Language Processing
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Sukkarieh, Jane Z.; von Davier, Matthias; Yamamoto, Kentaro – ETS Research Report Series, 2012
This document describes a solution to a problem in the automatic content scoring of the multilingual character-by-character highlighting item type. This solution is language independent and represents a significant enhancement. This solution not only facilitates automatic scoring but plays an important role in clustering students' responses;…
Descriptors: Scoring, Multilingualism, Test Items, Role
Becker, Lee – ProQuest LLC, 2012
While many studies have demonstrated that conversational tutoring systems have a positive effect on learning, the amount of manual effort required to author, design, and tune dialogue behaviors remains a major barrier to widespread deployment and adoption of these systems. Such dialogue systems must not only understand student speech, but must…
Descriptors: Intelligent Tutoring Systems, Speech, Computer Mediated Communication, Natural Language Processing
Morris, Mitchell J. – ProQuest LLC, 2012
Quickly accessing the contents of a video is challenging for users, particularly for unstructured video, which contains no intentional shot boundaries, no chapters, and no apparent edited format. We approach this problem in the domain of lecture videos though the use of machine learning, to gather semantic information about the videos; and through…
Descriptors: Heuristics, Electronic Learning, Video Technology, Computer Interfaces
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Kopp, Kristopher J.; Britt, M. Anne; Millis, Keith; Graesser, Arthur C. – Learning and Instruction, 2012
The current studies investigated the efficient use of dialogue in intelligent tutoring systems that use natural language interaction. Such dialogues can be relatively time-consuming. This work addresses the question of how much dialogue is needed to produce significant learning gains. In Experiment 1, a full dialogue condition and a read-only…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Mediated Communication, Synchronous Communication
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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
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