Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of existing methods of retraining models to best exploit labeled data from a related ...

Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensively used since it requires the same kind of MAP inference as normal structured ...

Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficient inference algorithms for various families of such potentials. Our algorithms ...

Growing competition has made today's banks understand the value of knowing their customers better. In this paper, we describe a tool, LIPTUS, that associates the customer interactions (emails and transcribed phone calls) with customer and account profiles ...

Keywords: customer intelligence, customer support, information integration

Many real-life applications depend on databases automatically curated from unstructured sources through imperfect structure extraction tools. Such databases are best treated as imprecise representations of multiple extraction possibli-ties. State-of-the-art ...

Inherent subjectivity in user's perception of an image has motivated the use of relevance feedback (RF) in the image desigined output's retrieval process. RF techniques interactively determine the user's query concept, given the user's relevance ...

Keywords: ellipsoid query processing, image retrieval, non-relevant judgment, relevance feedback, similarity search

Many modern database applications require content-based similarity search capability in numeric attribute space. Further, users' notion of similarity varies between search sessions. Therefore online techniques for adaptively refining the similarity metric ...

Keywords: database browsing, database navigation, ellipsoid query processing, information retrieval, non-relevant judgement, relevance feedback

We discuss technology to help a person monitor changes in news coverage over time. We define temporal summaries of news stories as extracting a single sentence from each event within a news topic, where the stories are presented one at a time and sentences ...

Keywords: experimental design, metrics, summarization

We describe a demonstration system built upon Topic Detection and Tracking (TDT) technology. The demonstration system monitors a stream of news stories, organizes them into clusters that represent topics, presents the clusters to a user, and visually ...

In recent years, a lot of work has been done in the field of Topic Tracking. The focus of this work has been on identifying stories belonging to the same topic. This might result in a very large number of stories being reported to the user. It might ...