http://www.alphaworks.ibm.com/tech/manyaspects
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Cheers,
Vu
Tuesday, 28 July 2009
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
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
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
Sunday, 26 July 2009
Brown Coherence Toolkit
Link for download: http://www.cs.brown.edu/~melsner/egrid-distr.tgz
Manual: http://www.cs.brown.edu/~melsner/manual.html
Link to the author: http://www.cs.brown.edu/~melsner/
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Cheers,
Vu
Manual: http://www.cs.brown.edu/~melsner/manual.html
Link to the author: http://www.cs.brown.edu/~melsner/
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Cheers,
Vu
iOPENER
http://tangra.si.umich.edu/clair/iopener/index.html
The idea automatically creating technical surveys using AI algorithms seems to be interesting but quite ambitious (according to my understanding). This is a inter-disciplinary research combining the various techniques in Natural Language Processing, Natural Language Understanding as well as Natural Language Generation. To some extent, it is really hard, still far away from present :D.
See more in the newest paper at NAACL'09 "Using Citations to Generate Surveys of Scientific Paradigms"! Initially, the authors use existing citation contexts of articles combining with state-of-the-arts techniques (e.g. Trimmer, LexRank, C-LexRank, C-RR) in extractive multi-document summarization (almost in news domain) to generate the surveys. They also concluded some important points as follows:
- approaches in other domains applied in the scientific extent can produce satisfactory results
- citation contexts and abstracts contain much more useful information for summaries than full texts in papers
My comments on this are as follows:
- the specific features of scientific survey articles are not used yet. For example: the structure of technical surveys, topic coherence, ...
- information fusion. Different citation contexts may contain overlapping information. How to pinpoint them?
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Cheers,
Vu
The idea automatically creating technical surveys using AI algorithms seems to be interesting but quite ambitious (according to my understanding). This is a inter-disciplinary research combining the various techniques in Natural Language Processing, Natural Language Understanding as well as Natural Language Generation. To some extent, it is really hard, still far away from present :D.
See more in the newest paper at NAACL'09 "Using Citations to Generate Surveys of Scientific Paradigms"! Initially, the authors use existing citation contexts of articles combining with state-of-the-arts techniques (e.g. Trimmer, LexRank, C-LexRank, C-RR) in extractive multi-document summarization (almost in news domain) to generate the surveys. They also concluded some important points as follows:
- approaches in other domains applied in the scientific extent can produce satisfactory results
- citation contexts and abstracts contain much more useful information for summaries than full texts in papers
My comments on this are as follows:
- the specific features of scientific survey articles are not used yet. For example: the structure of technical surveys, topic coherence, ...
- information fusion. Different citation contexts may contain overlapping information. How to pinpoint them?
--
Cheers,
Vu
Clair library
The Clair Library - A Perl package for Natural Language Processing, Information Retrieval and Network Analysis.
Just a note for further reference!
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Cheers,
Vu
Just a note for further reference!
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Cheers,
Vu
Scholarship links
Sites to seek for scholarships for different levels (undergraduate, master, PhD):
1)
http://scholarship-position.blogspot.com/
2)
http://scholarshipsboard.com/
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Cheers,
Vu
1)
http://scholarship-position.blogspot.com/
2)
http://scholarshipsboard.com/
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Cheers,
Vu
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