Testing the Accuracy of Text Deconstruction Using PTree Tool

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internalnotes Abdullah, R., Abdul Hamid, J., Selamat, M.H., Ibrahim, H., Ungku Chulan, U.A.I. (2008). Semantics Representation in a Sentence with Concept Relational Model (CRM). In Proceeding of Knowledge Management International Conference 2008, Langkawi, Malaysia, 10-12 June 2008, Vol. 1, 112-116. Barthelemy, F., Boullier, P., Deschamp, P., Kaouane, L., Khajour, A., & Clergerie, E.V. (2001). Tool and resources for Tree Adjoining Grammars. In Proceedings of the ACL 2001 Workshop on Human Language Technology and Knowledge Management, 15, 63-70. Black, P. E. (2007). Binary tree. [Online] Available: http://www.nist.gov/dads/HTML/binarytree.html (January 2008) Cohen, R. F., Battista, G. D., Tamassia, R., Tollis, I. G. & Bertolazzi, P. (1992). A framework for Dynamic Graph Drawing. In Annual Symposium on Computational Geometry, Proceedings of the eighth annual symposium on Computational geometry. Gross, J., & Yellen, J. (1999). Graph Theory and Its Applications. Boca Raton, Florida: CRC Press. Hanrahan, P. (2001). To Draw a Tree. In Proceedings of the IEEE Symposium on Information Visualization (INFOVIS’01) (p. 3-3). Kennedy, J. (n.d), Parse Trees. [Online] Available: http://homepage.smc.edu/kennedy_john/PARSETREES.PDF. (January 2008) Mitchell, S. (2008). Binary Trees and BSTs. [Online] Available: http://msdn2.microsoft.com/en-us/library/ms379572(VS.80).aspx (January 2008) Moen, S. (1990). Drawing Dynamic Trees. In IEEE Software, 7, 21-28. Nasharuddin, N.A, Abdul Hamid, J. Ibrahim, H., Selamat, H., Abdullah, R., & Wan Isa, W.M. (2008). Visualizer for Concept Relations in an Automatic Meaning Extraction System. In The Journal of Information and Knowledge Management Systems, Vol. 38, No. 2, 232-240. O’Madadhain, J., Fisher, D., Smyth, P., White, S., & Boey, Y.B. (n.d). (2008). Analysis and visualization of network data using JUNG. In Journal of Statistical Software. [Online] Available: http://jung.sourceforge.net/doc/JUNG_journal.pdf. (January 2008) Santorini, B. (1990). Part of Speech Tagging Guidelines for the Penn Treebank Project. [Online] Available: ftp://ftp.cis.upenn.edu/pub/treebank/doc/tagguide.ps.gz (February 2008) Selamat, H., Wan Isa, W.M., Abdul Hamid, J., Ibrahim, H., Abdullah, R., & Nasharuddin, N.A. (2008). PTree: A tool to draw tree for Concept Relation Tree (CRT). In Proceeding of Knowledge Management International Conference 2008, Langkawi, Malaysia, 10-12 June 2008, Vol. 1, 117-121. Ungku Chulan, U.A.I. (2007). Connector-based Extraction with Concept Relational Parser for Extracting Semantic Relation from Text. PhD Thesis (Unpublished), Universiti Putra Malaysia. Ungku Chulan, U.A.I., Sulaiman, M.N., Mahmod, R., Selamat, H., & Abdul Hamid, J. (2008). Organizing the semantic of text with the Concept Relation Tree. In International Journal of Computer Science and Network Security, Vol 8, No. 9, 236-249. Zanden, B.V., & Beeler, M. (n.d). (2008). A Tool for Sketching and Manipulating Binary Heaps. [Online] Available: http://www.cs.utk.edu/~bvz/HeapAnimation.pdf (January 2008)
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spelling 7536 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7536 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 7 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in sunpingping 2010-12-20 13:23:32 3077-01-FH02-FIK-14-00779.pdf UniSZA Private Access Testing the Accuracy of Text Deconstruction Using PTree Tool Computer and Information Science Our research project is currently to develop an Automatic Concept Relation Extraction (ACRE) System which automatically extracts concepts and their relationships across texts in all domains of knowledge. Concept Relational Tree (CRT) is one of the text analyzer applications used in the ACRE System to automatically extract concepts and their relationships in a document. To check on the correctness of the extraction of concepts and their relationships, the PTree is designed to reconstruct the text by reverse input. In this paper we present the PTree tool to test the accuracy of the automatic tagging and tree structure created by CRT from texts. The PTree tool is implemented from Java Universal Network/ Graph Framework (JUNG) libraries. This tool provides a few functions to allow for flexibility in drawing parse trees for concept relationships. Due to its flexibility and dynamic features, PTree can be further extended for use in the deconstruction of highly complex texts. 4 1 191-197 Abdullah, R., Abdul Hamid, J., Selamat, M.H., Ibrahim, H., Ungku Chulan, U.A.I. (2008). Semantics Representation in a Sentence with Concept Relational Model (CRM). In Proceeding of Knowledge Management International Conference 2008, Langkawi, Malaysia, 10-12 June 2008, Vol. 1, 112-116. Barthelemy, F., Boullier, P., Deschamp, P., Kaouane, L., Khajour, A., & Clergerie, E.V. (2001). Tool and resources for Tree Adjoining Grammars. In Proceedings of the ACL 2001 Workshop on Human Language Technology and Knowledge Management, 15, 63-70. Black, P. E. (2007). Binary tree. [Online] Available: http://www.nist.gov/dads/HTML/binarytree.html (January 2008) Cohen, R. F., Battista, G. D., Tamassia, R., Tollis, I. G. & Bertolazzi, P. (1992). A framework for Dynamic Graph Drawing. In Annual Symposium on Computational Geometry, Proceedings of the eighth annual symposium on Computational geometry. Gross, J., & Yellen, J. (1999). Graph Theory and Its Applications. Boca Raton, Florida: CRC Press. Hanrahan, P. (2001). To Draw a Tree. In Proceedings of the IEEE Symposium on Information Visualization (INFOVIS’01) (p. 3-3). Kennedy, J. (n.d), Parse Trees. [Online] Available: http://homepage.smc.edu/kennedy_john/PARSETREES.PDF. (January 2008) Mitchell, S. (2008). Binary Trees and BSTs. [Online] Available: http://msdn2.microsoft.com/en-us/library/ms379572(VS.80).aspx (January 2008) Moen, S. (1990). Drawing Dynamic Trees. In IEEE Software, 7, 21-28. Nasharuddin, N.A, Abdul Hamid, J. Ibrahim, H., Selamat, H., Abdullah, R., & Wan Isa, W.M. (2008). Visualizer for Concept Relations in an Automatic Meaning Extraction System. In The Journal of Information and Knowledge Management Systems, Vol. 38, No. 2, 232-240. O’Madadhain, J., Fisher, D., Smyth, P., White, S., & Boey, Y.B. (n.d). (2008). Analysis and visualization of network data using JUNG. In Journal of Statistical Software. [Online] Available: http://jung.sourceforge.net/doc/JUNG_journal.pdf. (January 2008) Santorini, B. (1990). Part of Speech Tagging Guidelines for the Penn Treebank Project. [Online] Available: ftp://ftp.cis.upenn.edu/pub/treebank/doc/tagguide.ps.gz (February 2008) Selamat, H., Wan Isa, W.M., Abdul Hamid, J., Ibrahim, H., Abdullah, R., & Nasharuddin, N.A. (2008). PTree: A tool to draw tree for Concept Relation Tree (CRT). In Proceeding of Knowledge Management International Conference 2008, Langkawi, Malaysia, 10-12 June 2008, Vol. 1, 117-121. Ungku Chulan, U.A.I. (2007). Connector-based Extraction with Concept Relational Parser for Extracting Semantic Relation from Text. PhD Thesis (Unpublished), Universiti Putra Malaysia. Ungku Chulan, U.A.I., Sulaiman, M.N., Mahmod, R., Selamat, H., & Abdul Hamid, J. (2008). Organizing the semantic of text with the Concept Relation Tree. In International Journal of Computer Science and Network Security, Vol 8, No. 9, 236-249. Zanden, B.V., & Beeler, M. (n.d). (2008). A Tool for Sketching and Manipulating Binary Heaps. [Online] Available: http://www.cs.utk.edu/~bvz/HeapAnimation.pdf (January 2008)
spellingShingle Testing the Accuracy of Text Deconstruction Using PTree Tool
summary Our research project is currently to develop an Automatic Concept Relation Extraction (ACRE) System which automatically extracts concepts and their relationships across texts in all domains of knowledge. Concept Relational Tree (CRT) is one of the text analyzer applications used in the ACRE System to automatically extract concepts and their relationships in a document. To check on the correctness of the extraction of concepts and their relationships, the PTree is designed to reconstruct the text by reverse input. In this paper we present the PTree tool to test the accuracy of the automatic tagging and tree structure created by CRT from texts. The PTree tool is implemented from Java Universal Network/ Graph Framework (JUNG) libraries. This tool provides a few functions to allow for flexibility in drawing parse trees for concept relationships. Due to its flexibility and dynamic features, PTree can be further extended for use in the deconstruction of highly complex texts.
title Testing the Accuracy of Text Deconstruction Using PTree Tool
title_full Testing the Accuracy of Text Deconstruction Using PTree Tool
title_fullStr Testing the Accuracy of Text Deconstruction Using PTree Tool
title_full_unstemmed Testing the Accuracy of Text Deconstruction Using PTree Tool
title_short Testing the Accuracy of Text Deconstruction Using PTree Tool
title_sort testing the accuracy of text deconstruction using ptree tool