Top-down and bottom-up: A combined approach to slot filling
|Top-down and bottom-up: A combined approach to slot filling|
|Author(s)||Chen Z., Tamang S., Lee A., Li X., Passantino M., Ji H.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Information Extraction, Question Answering, Slot Filling (Extra: Document collection, Information Extraction, Markov logic networks, Question Answering, Re-ranking, Slot Filling, State-of-the-art performance, Topdown, Wikipedia, Filling, Infrared devices, Natural language processing systems, Pipelines, Information retrieval)|
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Top-down and bottom-up: A combined approach to slot filling is a 2010 conference paper written in English by Chen Z., Tamang S., Lee A., Li X., Passantino M., Ji H. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
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.
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