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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 ...
Improving Binary Classification on Text Problems using Differential Word Features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of problems. The most common text classification ...
Delta TFIDF: An Improved Feature Space for Sentiment Analysis
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an ...
Using a Natural Language Understanding System to Generate Semantic Web Content
(IGI Global, 2007-11-01)
We describe our research on automatically generating rich semantic annotations of text and making it available on the Semantic Web. In particular, we discuss the challenges involved in adapting the OntoSem natural language ...
Using Wikitology for Cross-Document Entity Coreference Resolution
We describe the use of the Wikitology knowledge base as a resource for a variety of applications with special focus on a cross-document entity coreference resolution task. This task involves recognizing when entities and ...
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading
Automatic knowledge base population from text is an important technology for a broad range of approaches to learning by reading. Effective automated knowledge base population depends critically upon coreference resolution ...