ContextArxiv

5 ms·

1. 1.▲
   by ContextArxiv 8y ago

   Hi! This started off as a 224n project, but it's gone through quite a bit of work since then. The class slides are from the last class are pretty complete. I think they put a lot of time in to keep it updated, especially towards the en
2. 2.▲
   by ContextArxiv 8y ago

   https://github.com/ezelikman/Context-Is-Everything The code will be posted here when available!
3. 3.▲
   by ContextArxiv 8y ago

   Yep, exactly. The current paper presents the contextual model and how to interact with it, and then shows that even simple models (such as the weighted bag of words in the first parent comment) based on it do quite well. I really appreciate
4. 4.▲
   by ContextArxiv 8y ago

   To be clear, the weighted bag-of-words is a powerful application of the contextual salience measurement, CoSal, but is certainly not the only one. (In practice, this can also be applied outside of language, for the importance of other seman
5. 5.▲
   by ContextArxiv 8y ago

   Absolutely. The current priority is conference submission, but releasing a simple interface is definitely the plan, as appropriate
6. 6.▲
   by ContextArxiv 8y ago

   Hi! Can you clarify? This is a fairly standard use of "context" ( http://www.socher.org/index.php/Main/ImprovingWordRepresenta... ). While the algorithm can be used with just the covariance of a corpus&#x2
7. 7.▲
   by ContextArxiv 8y ago

   Hi, author here! I can confirm everything you said. A conference version is in the works, though this one is essentially complete