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Interactive Knowledge Base Population
Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction ...
HLTCOE Approaches to Knowledge Base Population at TAC 2009
(National Institute of Standards and Technology, 2009-11-01)
The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009. A machine learning-based approach to entity linking, operating over a wide range of feature types, yielded good performance on the entity ...
Annotating named entities in Twitter data with crowdsourcing
(Association for Computational Linguistics, 2010-06-06)
We describe our experience using both Amazon Mechanical Turk (MTurk) and Crowd Flower to collect simple named entity annotations for Twitter status updates. Unlike most genres that have traditionally been the focus of named ...
Entity Disambiguation for Knowledge Base Population
The integration of facts derived from information extraction systems into existing knowledge bases requires a system to disambiguate entity mentions in the text. This is challenging due to issues such as non-uniform ...