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Topdown and bottom-up: A combined approach to slot filling

By Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Marissa Passantino and Heng Ji


Abstract. The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (‘slots’), and use them to expand the Wikipedia infoboxes. We describe two bottom-up Information Extraction style pipelines and a top-down Question Answering style pipeline to address this task. We propose several novel approaches to enhance these pipelines, including statistical answer re-ranking and Markov Logic Networks based cross-slot reasoning. We demonstrate that our system achieves state-of-the-art performance, with 3.1 % higher precision and 2.6 % higher recall compared with the best system in the KBP2009 evaluation

Topics: Slot Filling, Information Extraction, Question Answering
Year: 2010
DOI identifier: 10.1007/978-3-642-17187-1_29
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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