Instance Weighting

Domain adaptation is an important problem in natural language processing (NLP) due to the lack of labeled data in novel domains. In this paper, we study the domain adaptation problem …...

A large body of prior research on coref- erence resolution recasts the problem as a two-class classification problem. How- ever, standard supervised machine learn- ing algorithms that minimize classifica- tion …...

AbstractWe tackle the task of adapting event extractors to new domains without labeled data, by aligning the marginal distributions of source and target domains. As a testbed, we create two …...