Thursday, 30 July 2009

JAVA stuffs

Of courses, a lot of available sites concerning this, the below is one of them:

http://www.java2s.com/

(to be updated!)

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Cheers,
Vu

Wednesday, 29 July 2009

Porter's Stemming Algorithm Online

http://maya.cs.depaul.edu/~classes/ds575/porter.html

Useful for quick reference to Porter Stemming Algorithm for English!

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Cheers,
Vu

Tuesday, 28 July 2009

Lucene stuffs

These days, I am trying to use Lucene for my own research purpose. I figure out here some stuffs that may be relevant and useful:

Lucene in general: http://lucene.apache.org
-> you can find out more detail on this site!

Lucene Index Toolbox (Luke): http://www.getopt.org/luke/
-> This tool is very helpful for us to deal with functionality of Lucene search engine. It supports index, document browsing, search, ... with graphical UI (cross-platform).

Great articles:
-> In this article, the author tried to implement his own summarizer based mainly on two simple summarization algorithms, namely Classifier4J (C4J) and Open Text Summarizer (OTS) using Lucene, an open-source source engine API.

2) Lucene Analyzer, Tokenizer and TokenFilter: http://mext.at/?p=26
-> how to use analyzer, tokenizer, filter in Lucene

3) Lucene Indexing and Document Scoring: (googling with the keyword "lucene indexing and document scoring")
-> contains some basic concepts and definitions in Lucene under comprehensive explanation.

4) Understanding Lucene Scoring: http://www.opensourcereleasefeed.com/article/show/understanding-lucene-scori

5) Lucene Query Syntax: http://lucene.apache.org/java/2_3_2/queryparsersyntax.html (replace the version "2_3_3" if you are using newer ones)

(to be continued ...)

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Cheers,
Vu

IBM Many Aspects Document Summarization Tool

http://www.alphaworks.ibm.com/tech/manyaspects

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Cheers,
Vu

Monday, 27 July 2009

AI softwares

Summarization: http://summarizer.intellexer.com/index.html
Extractor: http://www.extractor.com/

Surprising! AI softwares indeed!

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Cheers,
Vu

Keywords Co-Occurrence and Semantic Connectivity

http://www.miislita.com/semantics/c-index-1.html

I would like to adapt some techniques mentioned in this article to the problem of keyword co-occurrence in scientific domain (e.g. ACL Anthology).

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Cheers,
Vu