Encontrados 5 documentos, a visualizar página 1 de 1

Efficient clustering of web-derived data sets

Many data sets derived from the web are large, high-dimensional, sparse and have a Zipfian distribution of both classes and features. On such data sets, current scalable clustering methods such as streaming clustering suffer from fragmentation, where large classes are incorrectly divided into many smaller clusters, and computational efficiency drops significantly. We present a new clustering algorithm based on ...

Automatic Extraction of Quotes and Topics from News Feeds

The explosive growth in information production poses increasing challenges to consumers, confronted with problems often described as "information overflow". We present verbatim, a software system that can be used as a personal information butler to help structure and filter information. We address a small part of the information landscape, namely quotes extraction from portuguese news. This problem ...

An Approach to Web-scale Named-Entity Disambiguation

We present a multi-pass clustering approach to large scale, wide-scope named-entity disambiguation (NED) on collections of web pages. Our approach uses name co-occurrence information to cluster and hence disambiguate entities, and is designed to handle NED on the entire web. We show that on web collections, NED becomes increasingly difficult as the corpus size increases, not only because of the challenge of sca...

Fighting fire with fear

An emotion-based agent architecture