Building a Reference Base for News Metadata: Joint Entity Recognition and Linking with Domain Adaptation

old_uid10449
titleBuilding a Reference Base for News Metadata: Joint Entity Recognition and Linking with Domain Adaptation
start_date2011/11/25
schedule11h-13h
onlineno
summaryIn the applicative context of news production, structuring and enrichment, we attempt to provide a complete chain of information extraction, from raw text to the creation and dynamic population of a metadata reference base. The identification and referencing process of relevant metadata is done through the use of named entity recognition (NER) and entity linking (EL) techniques, which are applied jointly. As opposed to the general case, where NER doesn't access the referential level of information, and where EL is applied on gold entity recognition, EL must here be achieved on the basis of noisy detection of entity mentions. Moreover, we intend to carry out EL by using domain specific knowledge, while most EL systems use Wikipedia as their knowledge base. Keywords: information extraction, entity linking, knowledge base population
responsiblesCandito