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An automatic mark-up approach for structured document retrieval in engineering design

S. Liu, C. A. McMahon, M. J. Darlington, S. J. Culley, P. J. Wild
2008 The International Journal of Advanced Manufacturing Technology  
The focus here is on long and complex engineering documents. A three-level model is explored to achieve automatic semantic mark-up using a set of document decomposition schemes.  ...  This paper proposes a knowledge engineering approach to automatic document mark-up employing XML (the eXtensible Mark-up Language) to 'tag' explicitly the structural information.  ...  The media-type decomposition scheme looks into a document through elements like table, graphics, image and text.  ... 
doi:10.1007/s00170-007-1342-z fatcat:waw4tujcnffflnspfovsqvd5t4

Thematic Hierarchy Detection of a Text using Lexical Cohesion

1999 Journal of Natural Language Processing  
Automatic Text Decomposition Using Text Segments and Text Themes."  ...  KeyWords:Text Structuring, Text Decomposition,Topic Structure,Lexical Cohesion, Text Summarization  ... 
doi:10.5715/jnlp.6.6_83 fatcat:qsvhuiokwfhazdpdqb77vz2doa

Page 230 of Behavior Research Methods Vol. 23, Issue 2 [page]

1991 Behavior Research Methods  
relations; (2) both terms and text objects are  ...  Automatic statistical methods for analyzing the relation¬ ships among words and documents are promising and much more widely applicable.  ... 

The Development and Evaluation of Automatic Grading System of Japanese Summary

2018 DEStech Transactions on Engineering and Technology Research  
ACKNOWLEDGEMENT This paper is the result of the project: Automatic Measurement Method of Japanese Textual Coherence (Project number: GK201606) of Foreign Languages, Shenzhen University.  ...  It is necessary for readers to generalize and condense the main content of articles with concise and refined language without changing the central idea, genre and structure of the original text.  ...  analysis, singular value decomposition, and information computing.  ... 
doi:10.12783/dtetr/iceta2017/19931 fatcat:lvy7m4m2yvejrlll5hbwx4wkji

Decomposition of terminology graphs for domain knowledge acquisition

Fidelia Ibekwe-SanJuan, Eric SanJuan, Michael S.E. Vogeley
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
We propose a graph decomposition algorithm for analyzing the structure of complex graph networks.  ...  After multiword term extraction, we apply techniques from text mining and visual analytics in a novel way by integrating symbolic and numeric information to build clusters of domain topics.  ...  CONCLUSION We designed a system for automatically mapping the structure of a specialty field.  ... 
doi:10.1145/1458082.1458334 dblp:conf/cikm/Ibekwe-SanjuanSV08 fatcat:zrwjvyusqncopkakncvj5skwy4

Page 541 of Computational Linguistics Vol. 28, Issue 4 [page]

2002 Computational Linguistics  
browse and find relations between portions of the text. 6.  ...  Decomposition provides a means of performing this alignment automatically, building large corpora for summarization research.  ... 

Using latent semantic analysis to improve access to textual information

S. T. Dumais, G. W. Furnas, T. K. Landauer, S. Deerwester, R. Harshman
1988 Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '88  
The latent semantic indexing approach tries to overcome these problems by automatically organizing text objects into a semantic structure more appropriate for matching user requests.  ...  This is done by taking advantage of implicit higher-order structure in the association of terms with text objects.  ...  The term by object matrix can be automatically constructed for any set of text objects, and the underlying concepts arc identi6ed by a completely automatic statistical process.  ... 
doi:10.1145/57167.57214 fatcat:kg5j5upx4bhztdxgzec25kwpya

Automatic indexing of text and graphics in technical manuals

M. Worring, B. Wielinga, A. Anjewierden, F. Verster, L. Todoran, S. Kabel, R. de Hoog
2001 IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.  
In this contribution we consider the different representation levels and document knowledge required to do the task. On that basis we have developed tools for automatic indexing in diverse domains.  ...  Goal driven authoring of training material from existing technical manuals requires automatic indexing of the content of the manual.  ...  The concepts are developed semi-automatically by considering the authoring process, words in the text, and the parts-list associated with a technical manual.  ... 
doi:10.1109/icme.2001.1237880 dblp:conf/icmcs/WorringWAVTKH01 fatcat:f7sugsiaibg65ggvzwlukeq37e

An efficient and effective texture classification approach using a new notion in wavelet theory

Jian-Feng Liu, John Chung-Mong Lee
1996 Proceedings of 13th International Conference on Pattern Recognition  
The approach uses an overcomplete wavelet decomposition involving what are called wavelet frames, which yields descriptions of both translation invariance and stability.  ...  In order to adapt the wavelet frames to quasi-periodic property of textures, we first detect channels containing dominant information, and then zoom into these frequency channels for further decomposition  ...  As a matter of fact, in our opinion, a fully automatic document analysis and understanding system should (1) segment documents automatically, (2) discriminate automatically what language the text is written  ... 
doi:10.1109/icpr.1996.547190 dblp:conf/icpr/LiuL96 fatcat:xmi22w6ysfcjraogjeqqxqb3ba

Page 1985 of Computational Linguistics Vol. 23, Issue 1 [page]

1997 Computational Linguistics  
Salton, Gerard, Amit Singhal, Chris Buckley, and Mandar Mitra. 1996. Automatic text decomposition using text segmentation and text themes.  ...  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley, Reading, MA. Salton, Gerard and James Allan. 1993.  ... 

Using Hidden Markov Modeling to Decompose Human-Written Summaries

Hongyan Jing
2002 Computational Linguistics  
The task of summary sentence decomposition is to deduce whether a summary sentence is constructed by reusing the original text and to identify reused phrases.  ...  and (3) From where in the document do the phrases come? Solving the decomposition problem can lead to better text generation techniques for summarization.  ...  IRI 96-19124 and IRI 96-18797.  ... 
doi:10.1162/089120102762671972 fatcat:cgpyy3b37jhtddcubvkmdrdoca

Extractive Text Summarization for Social News using Hybrid Techniques in Opinion Mining

2020 International Journal of Engineering and Advanced Technology  
There are many text summarization techniques formulated having their own pros and cons.  ...  The statistical modeling technique of CRF adopts ML (machine leaning) for offering structured detection and providing multiple options for evaluation of opinion summarization thereby identifying the most  ...  Singular Value Decomposition is a mathematical matrix decomposition techniques which help in detecting relationships patterns among the words and sentences of the text document and also identifying similarity  ... 
doi:10.35940/ijeat.b3356.029320 fatcat:7vwnlgsef5arpllozo24oraotu

Transformation rules for decomposing heterogeneous data into triples

Mrityunjay Singh, S.K. Jain
2015 Journal of King Saud University: Computer and Information Sciences  
In literature, the triple model was found a suitable candidate for a dataspace system, and able to represent structured, semi-structured and unstructured data into a single model.  ...  A triple model is based on the decomposition theory, and represents variety of data into a collection of triples.  ...  V K Panchal (Scientist-E and Associate Director, DTRL lab, Defence Research and Development Organisation (DRDO), New Delhi, India) for providing the valuable suggestions, and his guidance to prepare this  ... 
doi:10.1016/j.jksuci.2014.03.017 fatcat:4hibe3hlenbuhn7exrhfkoazbq

Toward Automatic Recognition of Field Description Syntax and Parser Generation for Genome Databases

Takeo Sakai, Kenji Satou
2000 Genome Informatics Series  
Acknowledgements This work was supported by Grant-in-Aid for Scientific Research on Priority Areas (C) "Genome Information Science" from the Ministry of Education, Science, Sports and Culture of Japan.  ...  To solve this problem, it is needed to establish a methodology for automatically recognizing the various description syntax of fields in human-readable and semi-structured text database like genome databases  ...  For a long time, this situation has been an obstacle to the parsing of entries in genome databases, their decomposition, and their storage in fully structured systems such as DBMS and XML.  ... 
doi:10.11234/gi1990.11.444 fatcat:hx6lfexlcvhdbjduws5wt6gu34

Morphosyntactic Linguistic Wavelets for Knowledge Management [chapter]

Daniela Lpez De Luise
2012 Intelligent Systems  
Figure 5 shows a MLW decomposition of a generic text. There, C i , and C j,k stand for abstract knowledge and F m represents filters.  ...  This is a first step in the study of this type of tool that uses mathematical and statistical extraction of knowledge to automatically decompose text and represent it in a selforganizational approach.  ...  In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and  ... 
doi:10.5772/35438 fatcat:u446haayojbutoy6cvz6quitdu
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