Probabilistic Framework

Information Extraction (IE) systems that extract role fillers for events typically look at the local context surrounding a phrase when deciding whether to extract it. Of- ten, however, role fillers …...

In this paper, we formulate extractive summarization as a risk minimization problem and propose a unified probabilis- tic framework that naturally combines su- pervised and unsupervised summarization models to inherit …...

The computation of meaning similarity as operationalized by vector-based models has found widespread use in many tasks ranging from the acquisition of synonyms and para- phrases to word sense disambiguation …...

Named entity disambiguation is the task of linking entity mentions to their intended refer- ent, as represented in a Knowledge Base, usu- ally derived from Wikipedia. In this paper, we …...