Information Extraction System

We describe an information extraction sys- tem in which four classes of naming expres- sions organisation, person, location and tinm names are recognised and classified with nearly 92% combined precision …...

We present an approach to anaphora resolution based on a focusing algorithm, and implemented within an existing MUC (Message Understand- ing Conference) Information Extraction system, allowing quantitative evaluation against a …...

We present an information extraction system that decouples the tasks of finding relevant regions of text and applying extraction pat- terns. We create a self-trained relevant sen- tence classifier to …...

Natural language processing modules such as part-of-speech taggers, named-entity recog- nizers and syntactic parsers are commonly evaluated in isolation, under the assumption that artificial evaluation metrics for individual parts are …...

AbstractThe huge amount of the available information in the Web creates the need for effective information extraction systems that are able to produce metadata that satisfy user’s information needs. The …...

AbstractSolving long-lasting problems such as food insecurity requires a comprehensive understanding of interventions applied by governments and international humanitarian assistance organizations, and their results and consequences. Towards achieving this grand …...