Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Natural Intelligence - Commonsense Question Answering with Conceptual Graphs
Date
2010-07-30
Author
Guler, Fatih Mehmet
Birtürk, Ayşe Nur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
48
views
0
downloads
Cite This
Natural Intelligence (NI) is a question answering system based on Combinatory Categorial Grammar (CCG) as the theory of grammar and Conceptual Graphs (CG) for knowledge representation and reasoning. CCG is a lexicalized theory of grammar and very suitable for semantic analysis. Conceptual Graphs is a special kind of semantic network which can express full first-order logic. It aims to address the problem of commonsense reasoning in question answering, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling.
Subject Keywords
Combinatory categorial grammar
,
Conceptual graphs
,
Commonsense reasoning
,
Open Cyc
URI
https://hdl.handle.net/11511/55807
Conference Name
18th International Conference on Conceptual Structures
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Pattern recognition in bistable networks
VLADIMIR, CHINAROV; Halıcı, Uğur; Leblebicioğlu, Mehmet Kemal (1999-04-08)
Present study concerns the problem of learning, pattern recognition and computational abilities of a homogeneous network composed from coupled bistable units. An efficient learning algorithm is developed. New possibilities for pattern recognition may be realized due to the developed technique that permits a reconstruction of a dynamical system using the distributions of its attractors. In both cases the updating procedure for the coupling matrix uses the minimization of least-mean-square errors between the ...
Stochastic modelling of biochemical networks and inference of model parameters
Purutçuoğlu Gazi, Vilda (Springer International Publishing, 2018-04-01)
The research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology. Given the scientific relevance of the innovative applications and emerging issues they address, the contributions to this volume, written by some of the world’s leading experts in mathematics, economics and oth...
Pre-service physical education teachers' technological pedagogical content knowledge, technology integration self-efficacy and instructional technology outcome expectations
Semiz, Kivanc; İnce, Mustafa Levent (2012-01-01)
The purposes of this study were to (1) identify the Technological Pedagogical Content Knowledge (TPACK), Technology Integration Self Efficacy (TISE) and Instructional Technology Outcome Expectations (ITOE) of pre-service physical education teachers, (2) examine the relationships among TPACK, TISE and ITOE, and lastly (3) examine the differences between pre-service physical education teachers who perceived and who did not perceive technology integration by their university instructors on TPACK, TISE, and ITO...
Continuous optimization applied in MARS for modern applications in finance, science and technology
Taylan, Pakize; Weber, Gerhard Wilhelm; Yerlikaya, Fatma (2008-05-23)
Multivariate adaptive regression spline (MARS) denotes a tool from statistics, important in classification and regression, with applicability in many areas of finance, science and technology. It is very useful in high dimensions and shows a great promise for fitting nonlinear multivariate functions. The MARS algorithm for estimating the model function consists of two subalgorithms. We propose not to use the second one (backward stepwise algorithm), but we construct a penalized residual sum of squares for a ...
Optimum design of steel structures via differential evolution algorithm and application programming interface of SAP2000
Dedekargınoğlu, Özgür; Hasançebi, Oğuzhan; Department of Civil Engineering (2012)
The objective of this study is to investigate the use and efficiency of Differential Evolution (DE) method on structural optimization. The solution algorithm developed with DE is computerized into software called SOP2011 using VB.NET. SOP2011 is automated to achieve size optimum design of steel structures consisting of 1-D elements such as trusses and frames subjected to design provisions according to ASD-AISC (2010) and LRFD-AISC (2010). SOP2011 works simultaneously with the structural analysis and design ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
F. M. Guler and A. N. Birtürk, “Natural Intelligence - Commonsense Question Answering with Conceptual Graphs,” Kuching, MALAYSIA, 2010, vol. 6208, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55807.