Remarkable papers for Vietnamese Word Segmentation

By Doan NGUYEN (Hewlett-Packard Company)

1) "Query Preprocessing: Improving Web Search Through a Vietnamese Word Tokenization Approach". SIGIR'08 (short paper)

2) "Using Search Engine to Construct a Scalable Corpus for Vietnamese Lexical Development for Word Segmentation". Proceedings of the 7th Workshop on Asian Language Resources, ACL-IJCNLP 2009.

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Cheers,
Vu

The Legacy of Randy Pausch

Prof. Randy has been very famous with two lectures: "Time Management" and "The Last Lecture" (MUST SEE THEM!).

http://www.cs.virginia.edu/~robins/Randy/ - a collective site about Prof. Randy's lectures.

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Cheers,
Vu

Surveys & Books for Automatic Summarization

This post is to collect some useful surveys or books about automatic summarization in the literature so far.

Surveys
1) A survey on Automatic Text Summarization (link)

2) A Survey on Multi-Document Summarization (link)

3) Automatic summarising: The state of the art (link)

Books
1) Automatic Summarization by Mani (link)

2) Text summarisation by Hovy (link)

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Cheers,
Vu

Useful collective information about automatic summarization

http://www.summarizationonline.info

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Cheers,
Vu

Semantic Similarity using WordNet

http://wn-similarity.sourceforge.net/

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Cheers,
Vu

Modeling and Reasoning with Bayesian Networks

New book in 2009 about Bayesian Networks: "Modeling and Reasoning with Bayesian Networks" by Prof. Adnan Darwiche .

Link download: http://gigapedia.com/items/346116/modeling-and-reasoning-with-bayesian-networks (make sure that you already log in into that site)

Link on Amazon website: http://www.amazon.com/Modeling-Reasoning-Bayesian-Networks-Professor/dp/0521884381/ref=sr_1_1?ie=UTF8&s=books&qid=1239663545&sr=8-1

I am trying to read some of chapters in this book to study about Bayesian Networks and find that it is written with a very comprehensive and straightforward fashion, especially help us easily deal with a lot of mathematical materials in Bayesian Networks with accompanying examples. In my opinion, it may be better than the typical book in Bayesian Networks, namely "Learning Bayesian Networks" by Richard E. Neapolitan, which is very tough to read and understand.

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Cheers,
Vu

Statistical Data Mining Tutorials

http://www.autonlab.org/tutorials/index.html by Prof. Andrew W. Moore.

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Cheers,
Vu