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Adamantia_Psarologou_Dissertation-Final.pdf (4.36 MB)
ETD Abstract Container
Abstract Header
A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding
Author Info
Psarologou, Adamantia
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1463745991
Abstract Details
Year and Degree
2016, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
Abstract
Natural Language Understanding (NLU) is a very old research field, which deals with machine reading comprehension. Despite the many years of work and the numerous accomplishments by several researchers in the field, there is still place for significant improvements. Here, our goal is to develop a novel NLU methodology for detecting and extracting event/action associations in technical documents. In order to achieve this goal we present a synergy of methods (Kernel extraction, Formal Language Modeling, Stochastic Petri-nets (SPN) mapping and Event Representation via SPN graph synthesis). In particular, the basic meaning of a natural language sentence is given by its kernel (Agent -> Action -> Patient), which is "who" is doing "what" to "whom". Thus, we have developed a methodology that automatically extracts the kernels of NL sentences based on their parse trees. Then, we represent the kernel's structure in a form of a formal language, called Glossa, for efficient processing. Next, we map the formal representation of kernels to an SPN state machine in order to embed timing in the representation of NL sentences. Finally, we synthesize the SPN representation of kernels for expressing the association of events/actions of different sentences. Results of our methodology are presented to prove the concept and validate the overall approach. Moreover, we provide two different application that our proposed NLU methodology can be used for. The first application is a quick and easy way for modifying technical documents, by multiple users. The second one is document summarization, where two different types of summarization are described.
Committee
Nikolaos Bourbakis, Ph.D. (Advisor)
Soon Chung, Ph.D. (Committee Member)
Yong Pei, Ph.D. (Committee Member)
Sukarno Mertoguno, Ph.D. (Committee Member)
Maria Virvou, Ph.D. (Committee Member)
Pages
158 p.
Subject Headings
Computer Science
;
Information Technology
Keywords
computer science
;
information technology
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Citations
Psarologou, A. (2016).
A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding
[Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1463745991
APA Style (7th edition)
Psarologou, Adamantia.
A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding.
2016. Wright State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1463745991.
MLA Style (8th edition)
Psarologou, Adamantia. "A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding." Doctoral dissertation, Wright State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1463745991
Chicago Manual of Style (17th edition)
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Document number:
wright1463745991
Download Count:
585
Copyright Info
© 2016, some rights reserved.
A Stochastic Petri Net based NLU Scheme for Technical Documents Understanding by Adamantia Psarologou is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.