If you've wondered why we haven't seemed active lately, it's because we moved the blog over to csc.media.mit.edu and forgot to tell everybody! :) So if you're still reading this blog, come check out the new one instead!
(We may one day figure out how to syndicate posts back here, but for now, this blog is archived.)
Wednesday, May 12, 2010
Monday, September 28, 2009
New SQLite database
We finally have an updated SQLite database for ConceptNet. It's designed for use with ConceptNet 4.0b8 (just released). This will fix the long-standing "best_raw_id" bug.
This database now includes data that was imported from the online game Verbosity. It also includes the initial import of the Chinese ConceptNet. This comes to us thanks to our collaborators in Taiwan, Jane Hsu, Yen-Ling Kuo, Edward Shen, and the many people playing the online games they developed.
We've also cleaned up our documentation, and written tutorials for some key things you may want to be able to do with ConceptNet and Divisi, at http://csc.media.mit.edu/docs/ .
This database now includes data that was imported from the online game Verbosity. It also includes the initial import of the Chinese ConceptNet. This comes to us thanks to our collaborators in Taiwan, Jane Hsu, Yen-Ling Kuo, Edward Shen, and the many people playing the online games they developed.
We've also cleaned up our documentation, and written tutorials for some key things you may want to be able to do with ConceptNet and Divisi, at http://csc.media.mit.edu/docs/ .
Thursday, August 20, 2009
Verbosity, and one meeeelion sentences
How did we just get nearly 200,000 new statements in Open Mind Common Sense?
We've just imported a whole lot of data from Verbosity, one of Luis von Ahn's Games with a Purpose. Verbosity collects common sense knowledge through a game: one person is given a word, and needs to get the other person to guess that word by listing common-sense facts about it.
The data is rather noisy in places, but after some filtering, we've got a list of new statements about as reliable as the other score-1 statements in OMCS. These include a number of useful "is not" statements, describing things that are different, which we've never prompted for on OMCS before, as well as many examples of a new relation, "SimilarSize", expressing the statement "X is about the same size as Y".
A side effect of this is that it's pushed our total sentence count for English over one million! Of those, we can parse about 542,600 so far (we've still got a lot left to try to parse from the original Open Mind), and those translate to about 504,700 unique assertions in ConceptNet.
Thank you to all our contributors (especially those who are patient enough to try to deal with our current web site), and to all the players of Verbosity!
We've just imported a whole lot of data from Verbosity, one of Luis von Ahn's Games with a Purpose. Verbosity collects common sense knowledge through a game: one person is given a word, and needs to get the other person to guess that word by listing common-sense facts about it.
The data is rather noisy in places, but after some filtering, we've got a list of new statements about as reliable as the other score-1 statements in OMCS. These include a number of useful "is not" statements, describing things that are different, which we've never prompted for on OMCS before, as well as many examples of a new relation, "SimilarSize", expressing the statement "X is about the same size as Y".
A side effect of this is that it's pushed our total sentence count for English over one million! Of those, we can parse about 542,600 so far (we've still got a lot left to try to parse from the original Open Mind), and those translate to about 504,700 unique assertions in ConceptNet.
Thank you to all our contributors (especially those who are patient enough to try to deal with our current web site), and to all the players of Verbosity!
Monday, August 10, 2009
Welcome back, Catherine Havasi!
Catherine Havasi co-created the Open Mind Common Sense project, as an undergraduate researcher working with Push Singh way back in 1999. For the last five years, she's been working on a doctorate in computational linguistics at Brandeis University. She's been doing a lot of cross-campus research with this group.
Last month, she finally earned her Ph.D (congratulations!). Now, she's returned to the Media Lab as a post-doc, where she'll once again be able to work on Open Mind and its applications full time. It's great to have her as an official part of the group again!
Last month, she finally earned her Ph.D (congratulations!). Now, she's returned to the Media Lab as a post-doc, where she'll once again be able to work on Open Mind and its applications full time. It's great to have her as an official part of the group again!
Wednesday, June 24, 2009
How to make Fink work when it has the wrong URL
I hit a stumbling block today, and this is one of those things that really should be Googleable.
If you're installing libraries on a Mac, you might be doing it through Fink. And Fink has the unfortunate property that a lot of its download URLs give 404 errors, leaving you stuck. This was the case for the "cloog" library. I don't know what it does, but it's required by hdf5, which is needed by pytables, which we need to store Divisi results on the disk instead of in every instance of the Web server. All the URLs that Fink looks for when it tries to download "cloog" are broken.
The workaround is to Google for the file yourself, and download it into the /sw/src directory.
I hope this helps someone else who runs into the same problem.
If you're installing libraries on a Mac, you might be doing it through Fink. And Fink has the unfortunate property that a lot of its download URLs give 404 errors, leaving you stuck. This was the case for the "cloog" library. I don't know what it does, but it's required by hdf5, which is needed by pytables, which we need to store Divisi results on the disk instead of in every instance of the Web server. All the URLs that Fink looks for when it tries to download "cloog" are broken.
The workaround is to Google for the file yourself, and download it into the /sw/src directory.
I hope this helps someone else who runs into the same problem.
Divisi for Windows
The theme of this week is "make it so that our underlying code can actually be run by other people". One recent accomplishment: I finally figured out how to make a Windows installer of Divisi, our machine learning library. (The hard work to make Divisi compile on Windows at all was done by contributor Akshay Bhat. Thanks, Akshay.)
Monday, June 1, 2009
Bugfixes and improvements
I know we're a bit quiet on the PR front, but as usual a lot is happening under the hood. You can see what we're up to by watching Launchpad, e.g., Divisi trunk and ConceptNet trunk. I'll highlight a few recent examples:
I had planned to work on my thesis, but... speaking of thesis, Jayant just graduated. Thankfully he's staying a little while longer to wrap things up, so maybe he'll post something about his thesis.
- Divisi works on Windows. According to Akshay. We haven't tried it. Though properly supporting Windows means a double-click .exe installer -- which setuptools can apparently make, but we haven't figured out yet.
- We finally renamed u_distances_to to u_dotproducts_with in SVD results; the name has been wrong ever since I wrote that code maybe a year and a half ago.
- I wrote csc.divisi.util.PickleDir, which I've found really helpful for hanging onto temporary data that's a little longer-lived than an ipython session.
- I improved how Divisi summarizes SVD results (in two commits).
- I refactored how Analogyspace is built, making it easier to try out different combinations of things. Object-oriented code definitely improves things, but I still don't think I hit the sweet spot; certain customizations are still too hard. Any input from software architects? It's a set of mostly composable operations, though certain things only make sense in certain cases...
- top_items had been effectively ignoring its new key parameter. Fixed.
- We had been returning squared magnitudes for tensors. Oops. Fixed. Fortunately, I don't think this was used.
- Finally got around to implementing the (pretty trivial) decomposition of a vector into the parallel and perpendicular components to another vector. That required filling out some other routines, fixing tests, etc.; I think they call that 'yak shaving'; my real goal was to figure out why AnalogySpace was coming out differently than a few weeks ago.
- All this stuff is begging a new release. In time... for now, you can use the bzr head; we try not to break the trunk too often.
I had planned to work on my thesis, but... speaking of thesis, Jayant just graduated. Thankfully he's staying a little while longer to wrap things up, so maybe he'll post something about his thesis.
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