We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Content on the Internet is always changing. We explore the value of biasing search result snippets towards new webpage content. We present results from a user study comparing trad...
Krysta Marie Svore, Jaime Teevan, Susan T. Dumais,...
Although the application of data fusion in information retrieval has yielded good results in the majority of the cases, it has been noticed that its achievement is dependent on the...
Data about everything is readily available on the web—but often only accessible through elaborate user interactions. For automated decision support, extracting that data is esse...
Andrew Jon Sellers, Tim Furche, Georg Gottlob, Gio...
The retrieval of sentences that are relevant to a given information need is a challenging passage retrieval task. In this context, the well-known vocabulary mismatch problem arises...