In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Because XML documents tend to be very large and are more and more collaboratively processed, their fine-grained storage and management is a must for which, in turn, a flexible tree...
We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from s...