In many machine learning applications, it is important for the user to
u...
One of the main methods for semantic interpretation of text is mapping i...
Machine learning algorithms have difficulties to generalize over a small...
We tackle the task of Term Set Expansion (TSE): given a small seed set o...
Human labeling of textual data can be very time-consuming and expensive,...
Many applications require categorization of text documents using predefi...
When humans perform inductive learning, they often enhance the process w...
We address the task of Named Entity Disambiguation (NED) for noisy text....
Given a current news event, we tackle the problem of generating plausibl...
Domain-independent planning is one of the foundational areas in the fiel...