Interested Papers at SIGIR 2011

SIGIR 2011 accepted papers link: http://www.sigir2011.org/papers.htm

My Interested Papers:
1) Summarizing the Differences in Multilingual News
Xiaojun Wan, Houping Jia

2) Multifaceted Toponym Recognition for Streaming News
Michael Lieberman, Hanan Samet

3) Toward Social Context Summarization For Web Documents
Zi Yang, cai keke, Jie Tang, Li Zhang, Zhong Su, Juanzi Li

4) Evolutionary Timeline Summarization: a Balanced Optimization Framework via Iterative Substitution
Rui Yan, Xiaojun Wan, Jahna Otterbacher, Liang Kong, Yan Zhang, Xiaoming Li

5) The Economics in Interactive Information Retrieval
Leif Azzopardi

6) Composite Hashing with Multiple Information Sources
Dan Zhang, Fei Wang, Luo Si

7) Inverted Indexes for Phrases and Strings
Manish Patil, Sharma V. Thankachan, Rahul Shah, Wing-Kai Hon, Jeffrey Vitter, Sabrina Chandrasekaran

8) Multimedia Answering: Enriching Text QA with Media Information
Liqiang Nie, Meng Wang, Zha Zhengjun, Li Guangda, Tat Seng Chua

9) SCENE : A Scalable Two-Stage Personalized News Recommendation System
Lei Li, Dingding Wang, Tao Li

10) Ranking Related News Predictions
Nattiya Kanhabua, Roi Blanco, Michael Matthews

--
Cheers,
Vu

[C++] - how to deal with very large files

Two possible ways:

1) Only use basic I/O in such as FILE* + fread + fwrite ... and try to read/write byte sequences at one time.

2) Use memory-mapped file mechanism.
Possible links:
+ Boost C++ memory-mapped file support: http://www.boost.org/doc/libs/1_38_0/libs/iostreams/doc/index.html
+ http://codingplayground.blogspot.com/2009/03/memory-mapped-files-in-boost-and-c.html#comment-form

3) TBA (please let me know if u have others. Thanks!)

--
Cheers,
Vu

Boilerpipe - Boilerplate Removal and Fulltext Extraction from HTML pages

Link: http://code.google.com/p/boilerpipe/

The boilerpipe library provides algorithms to detect and remove the surplus "clutter" (boilerplate, templates) around the main textual content of a web page.

Q&A for professional and enthusiast programmers

http://stackoverflow.com/ - A social Q&A site for both expert & non-expert programmers.

Boost C++ Library

Boost C++ Library: http://www.boost.org or http://boost.teeks99.com/

...one of the most highly regarded and expertly designed C++ library projects in the world. — Herb Sutter and Andrei Alexandrescu, C++ Coding Standards

*** Installation Tips

- with b2

b2 address-model=32 --build-type=complete --stagedir=stage
b2 address-model=64 --build-type=complete --stagedir=stage_x64

(regex with ICU lib)
b2 -sICU_PATH=C:\icu4c-54_1-src\icu address-model=32 --with-regex --stagedir=stage
b2 -sICU_PATH=C:\icu4c-54_1-src\icu address-model=64 --with-regex --stagedir=stage_x64

(iostream with zlib)
b2 -sZLIB_SOURCE=C:\zlib128-dll\include address-model=32 --with-iostreams --stagedir=stage

b2 -sZLIB_SOURCE=C:\zlib128-dll\include address-model=64 --with-iostreams --stagedir=stage_x64

- with bjam

(for different versions of Microsoft Visual C++)
bjam --toolset=msvc-12.0 address-model=64 --build-type=complete stage
bjam --toolset=msvc-11.0 address-model=64 --build-type=complete stage
bjam --toolset=msvc-10.0 address-model=64 --build-type=complete stage
bjam --toolset=msvc-9.0 address-model=64 --build-type=complete stage
bjam --toolset=msvc-8.0 address-model=64 --build-type=complete stage

bjam --toolset=msvc-12.0 --build-type=complete stage
bjam --toolset=msvc-11.0 --build-type=complete stage
bjam --toolset=msvc-10.0 --build-type=complete stage
bjam --toolset=msvc-9.0 --build-type=complete stage
bjam --toolset=msvc-8.0 --build-type=complete stage

--

Tools for Vietnamese Spell Checking

1) Hunspell (Vietnamese version): http://code.google.com/p/hunspell-spellcheck-vi/

Original version: http://hunspell.sourceforge.net/

Source Code with Java for Hunspell: http://dren.dk/hunspell.html

2) Aspell: http://aspell.net/

Available dictionaries: ftp://ftp.gnu.org/gnu/aspell/dict/0index.html

3) IBM csSpell (Context-sensitive Spelling Checker): http://www.alphaworks.ibm.com/tech/csspell

4) TBA

--
Cheers,
Vu

N-gram tools

1) http://homepages.inf.ed.ac.uk/lzhang10/ngram.html

2) Google Web N-gram
2a) Google Web N-gram Viewer: http://ngrams.googlelabs.com/
2b) Google Web N-gram Patterns: http://n-gram-patterns.sourceforge.net/

3) Microsoft Web N-gram: http://web-ngram.research.microsoft.com/info/

4) N-gram Statistics Package: http://ngram.sourceforge.net/

5) CMU Language Modeling Toolkit (version 2): http://www.speech.cs.cmu.edu/SLM/toolkit.html

6) N-gram Extraction Tools: http://homepages.inf.ed.ac.uk/lzhang10/ngram.html