This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...
When people use visualizations of conversational archives, they typically reflect on particular events, rather than patterns of activity over time. We explore whether this is a fu...
Human stereo perception of glossy materials is substantially different from the perception of diffuse surfaces: A single point on a diffuse object appears the same for both eyes, ...
Krzysztof Templin, Piotr Didyk, Tobias Ritschel, K...
Social media language contains huge amount and wide variety of nonstandard tokens, created both intentionally and unintentionally by the users. It is of crucial importance to norm...
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...