The first week of the
winter storm is awesome.
Talking with people outside Computer Science, or even Engineering field is exciting as well as a little bit frustrating... They focus on the fact, and we focus more on the methods.
For example, those researchers from SLA (second language acquisition) focus on what is the process when ppl learn a second language, how their brain changed when they learn another language and that is it. Well, when we talk about learning (Machine Learning), actually we care less about the learning process fact, and we care about how we can use the learning paradigm to build models and do inference. That is a huge difference.
Another interesting thing happened when
Prof. Hal Daume delivered a lecture about how to use Natural Language Processing to assist typology study. He said: When I am talking with Linguists, I always stress on that the things we (NLPers) are doing does not want to replace Linguists, but actually we want to make the tedious work of Linguists become easier. Hahahaha, everyone laughs~~
Well, the point is that, as nowadays, CS researchers need more and more cooperations with traditional scientists, how to communicate effectively, is a problem.