Anecdotes extraction from webpage context as image annotation - Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition - page 303

[15] Wang Z, Xu J, Araki K, Tochinai K. Word segmentation of Chinese text with multiple hybrid
methods. In: 2009 International conference on computational intelligence and software
engineering; 2009.
[16] Horng JT, Yeh CC. Applying genetic algorithms to query optimization in document
retrieval. Inform Process Manag. 2000;36:737-759.
[17] Fuketa M, Fujisawa N, Bando H, Morita K, Aoe JI. A retrieval method of similar strings
using substrings. In: 2010 Second international conference on computer engineering
and applications; 2010.
[18] Kim MS, Whang KY, Lee JG, Lee MJ. Structural optimization of a full-text n-gram in-
dex using relational normalization. VLDB J. 2008;17:1485-1507.
[19] Hong C-M, Chen C-M, Chiu C-Y. Automatic extraction of new words based on Google
News corpora for supporting lexicon-based Chinese word segmentation systems. Ex-
pert Syst Appl. 2009;36:3641-3651.
[20] Tsai R.T.-H. Chinese text segmentation: a hybrid approach using transductive learning
and statistical association measures. Expert Syst Appl. 2010;37:3553-3560.
[21] Salton G, Mcgill MJ. Introduction to modern information retrieval. New York: McGraw-
Hill Book Company; 1983.
[22] Troy AD, Zhang G-Q. Enhancing relevance scoring with chronological term rank. In: Proc.
30th annual international ACM SIGIR conference on research and development in in-
formation retrieval; Amsterdam, The Netherlands: ACM; 2007.
[23] Yan H, Ding S, Suel T. Compressing term positions in web indexes. In: Proc. 32nd interna-
tional ACM SIGIR conference on research and development in information retrieval;
Boston, MA: ACM; 2009:147-154 1571969.
[24] Tatar D, Kapetanios E, Sacarea C, Tanase D. Text segments as constrained formal concepts.
In: 12th international symposium on symbolic and numeric algorithms for scientific
computing (SYNASC), 23-26 Sept. 2010; 2010:223-228.
[25] Shanthi V, Lalitha S. Lexical chaining process for text generations. In: International con-
ference on process automation, control and computing (PACC); 2011.
[26] Tatar D, Mihis AD, Czibula GS. Lexical chains segmentation in summarization. In: 10th in-
ternational symposium on symbolic and numeric algorithms for scientific computing,
26-29 Sept. 2008; 2008:95-101.
[27] Ageishi R, Miura T. Named entity recognition based on a hidden Markov model in part-of-
speech tagging. In: First international conference on the applications of digital informa-
tion and web technologies; 2008.
[28] Chiong R, Wang W. Named entity recognition using hybrid machine learning approach. In:
The 5th IEEE international conference on cognitive informatics; 2006.
[29] Gamma E, Helm R, Johnson R, Vlissides J. Design paterns: elements of reusable object-ori-
ented software. Indianapolis, IN: Pearson Education Co; 1995.
[30] Huang C-M. Applying a lightweight Chinese lexical chain processing in web image annota-
tion. In: The 2014 international conference on image processing, computer vision, &
pattern recognition (IPCV'14), Las Vegas, Nevada, USA; 2014.
[31] Huang C-M, Chang Y-J. Applying a lightweight iterative merging Chinese segmentation in
web image annotation. In: Perner P, ed. 2013 International conference on machine learn-
ing and data mining, New York, USA; Berlin Heidelberg: Springer; 2013:183-194.