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This is being referred to as a knockoff, I assumed this was actually based on stack exchange. Can someone clarify?

bravura 16y ago
The site is powered by OSQA (http://osqa.net http://osqa.net), a Django/Python Q&A platform. The site is a fork of CNPROG, which was designed to mimic StackExchange. OSQA is supported by DZone, and the pace of development has been rapid. The core developers have stated on many occasions that they are moving in independent direction from StackExchange. In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.
klochner 16y ago
Joel & Jeff are selectively rolling out new StackExchange sites. The selection process for new sites is community-driven: http://area51.stackexchange.com/ http://area51.stackexchange.com/ . . . but it looks like a stats site is close to being a reality: http://area51.stackexchange.com/proposals/33/statistical-analysis http://area51.stackexchange.com/proposals/33/statistical-ana...
- bravura 16y ago
  There are several problems with that approach: As Chris Manning (Stanford NLP professor) says, Area 51 hasn't gotten any buy-in from the academic community. I have focused on getting academia to be the immediate core of the community, so that the quality of Q+A is high. I am able to do this because of my academic connections. They are fragmenting the Q+A sites into four: http://area51.stackexchange.com/proposals/33/statistical-analysis http://area51.stackexchange.com/proposals/33/statistical-ana... http://area51.stackexchange.com/proposals/6607/artificial-intelligence http://area51.stackexchange.com/proposals/6607/artificial-in... http://area51.stackexchange.com/proposals/2761/natural-language-processing-and-computational-linguistics-nlp-cl http://area51.stackexchange.com/proposals/2761/natural-langu... http://area51.stackexchange.com/proposals/7607/machine-learning http://area51.stackexchange.com/proposals/7607/machine-learn... The last thing we need is NLP and ML people communicating less. That's why my site encompasses all of these proposals, as well as adjacent fields. As we've learned from StackOverflow, having one site for a broad topic leads to cross-polination of ideas between groups who don't normally communicate. Most importantly, OSQA (which powers my site) is an open platform, built on Django+Python. That comes with all the benefits of open software. In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.
  - fady 16y ago
    and...you wont get shutdown :)
  - ogrisel 16y ago
    "Related Questions": tokenize => random hash/project (tokens) => TD-IDF => KD-tree lookup "automatically infer tag": tokenize / shingle q&a, ORDER token+bigrams BY TF-IDF(token + bigrams) In both cases a global IDF estimate can be held in memory using a Counting Bloom Filter (or a traditional solr index).

The site is powered by OSQA (http://osqa.net http://osqa.net), a Django/Python Q&A platform. The site is a fork of CNPROG, which was designed to mimic StackExchange. OSQA is supported by DZone, and the pace of development has been rapid. The core developers have stated on many occasions that they are moving in independent direction from StackExchange. In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.

klochner 16y ago

Joel & Jeff are selectively rolling out new StackExchange sites. The selection process for new sites is community-driven: http://area51.stackexchange.com/ http://area51.stackexchange.com/ . . . but it looks like a stats site is close to being a reality: http://area51.stackexchange.com/proposals/33/statistical-analysis http://area51.stackexchange.com/proposals/33/statistical-ana...

bravura 16y ago
There are several problems with that approach: As Chris Manning (Stanford NLP professor) says, Area 51 hasn't gotten any buy-in from the academic community. I have focused on getting academia to be the immediate core of the community, so that the quality of Q+A is high. I am able to do this because of my academic connections. They are fragmenting the Q+A sites into four: http://area51.stackexchange.com/proposals/33/statistical-analysis http://area51.stackexchange.com/proposals/33/statistical-ana... http://area51.stackexchange.com/proposals/6607/artificial-intelligence http://area51.stackexchange.com/proposals/6607/artificial-in... http://area51.stackexchange.com/proposals/2761/natural-language-processing-and-computational-linguistics-nlp-cl http://area51.stackexchange.com/proposals/2761/natural-langu... http://area51.stackexchange.com/proposals/7607/machine-learning http://area51.stackexchange.com/proposals/7607/machine-learn... The last thing we need is NLP and ML people communicating less. That's why my site encompasses all of these proposals, as well as adjacent fields. As we've learned from StackOverflow, having one site for a broad topic leads to cross-polination of ideas between groups who don't normally communicate. Most importantly, OSQA (which powers my site) is an open platform, built on Django+Python. That comes with all the benefits of open software. In particular, because the site is open-source, I can experiment with adding NLP to it. I can improve the Related Questions, I can automatically infer tags, and I can implement techniques for helping you organize and navigate information.
- fady 16y ago
  and...you wont get shutdown :)
- ogrisel 16y ago
  "Related Questions": tokenize => random hash/project (tokens) => TD-IDF => KD-tree lookup "automatically infer tag": tokenize / shingle q&a, ORDER token+bigrams BY TF-IDF(token + bigrams) In both cases a global IDF estimate can be held in memory using a Counting Bloom Filter (or a traditional solr index).