The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with l...
Francisco Iacobelli, Larry Birnbaum, Kristian J. H...
This paper proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigg...
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Information extraction (IE) — the problem of extracting structured information from unstructured text — has become an increasingly important topic in recent years. A SIGMOD 20...
Laura Chiticariu, Yunyao Li, Sriram Raghavan, Fred...