Difference between revisions of "User:Akoul"
From Cohen Courses
Jump to navigationJump to search(One intermediate revision by the same user not shown) | |||
Line 20: | Line 20: | ||
* Have a photo site with over a million visitors, 2000 sites currently using my Creative Commons licensed photos, including New York Times, Wikipedia, Yahoo Homepages, ABC News, ReadWriteWeb, etc. [http://www.flickr.com/photos/anirudhkoul/sets/72157614703171283/detail/ Photogallery] | * Have a photo site with over a million visitors, 2000 sites currently using my Creative Commons licensed photos, including New York Times, Wikipedia, Yahoo Homepages, ABC News, ReadWriteWeb, etc. [http://www.flickr.com/photos/anirudhkoul/sets/72157614703171283/detail/ Photogallery] | ||
− | == Brainstorming | + | == Brainstorming Ideas == |
− | + | * Extracting Facts from Wikipedia Text to generate a Fact relation hierarchy | |
− | * | + | * Automatic extraction of answering patterns for Question Answering |
− | + | ||
− | * | + | == Project Proposal == |
+ | * [[Wikipedia Infobox Generator Using Cross Lingual Unstructured Text]] |
Latest revision as of 12:51, 8 September 2011
Contents
Anirudh Koul
Who am I and Why I am here
Hello there, I am Koul (Pronounced 'Cool') from Canada. I am a Masters students in the Very Large Information Systems program (between LTI & ISR).
Before joining CMU, I worked 4 years with Yahoo as a Research Engineer. I am here to gauge what new technologies can be build by combining NLP and Machine Learning.
Superpowers
- Can function sanely in -40 Degree weather, and still keep continuing experimentation.
- Have crashed IBM Watson : Proof
- Have developed 3 Question Answering systems, once personally, then under Dr Eric Nyberg and later under Dr Noah Smith.
Random Notes
- Once ran a triathlon with a broken toe bone, just to look better than an MTV VJ right behind me, who was being captured on camera all along.
- Have a photo site with over a million visitors, 2000 sites currently using my Creative Commons licensed photos, including New York Times, Wikipedia, Yahoo Homepages, ABC News, ReadWriteWeb, etc. Photogallery
Brainstorming Ideas
- Extracting Facts from Wikipedia Text to generate a Fact relation hierarchy
- Automatic extraction of answering patterns for Question Answering