Machine Learning for Automatic Labeling of Frames and Frame Elements in Text

Machine Learning for Automatic Labeling of Frames and Frame Elements in Text

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dc.contributor.author Scaiano, Martin
dc.contributor.author Inkpen, Diana
dc.date.accessioned 2011-10-28T17:30:40Z
dc.date.available 2011-10-28T17:30:40Z
dc.date.created 2011 en_US
dc.date.issued 2011-10-28
dc.identifier International Journal of Linguistics, Vol. 3, No. 1: E9 en_US
dc.identifier.other 10.5296/ijl.v3i1.648 en_US
dc.identifier.uri http://www.macrothink.org/journal/index.php/ijl/article/view/648/pdf_12 en_US
dc.identifier.uri http://hdl.handle.net/10393/20338
dc.description.abstract The development of systems that extract a frame representation of text can lead to deeper semantics being used in natural language processing. We present the development of our system for extracting frames from text. Our system is trained on the FrameNet data and tested on the SemEval 2007: Task 19 Frame Extraction Task data. We use machine learning for labeling frames and frame elements, resulting in system with a good performance. We provide a detailed analysis of our methods, challenges, and results. We also provide enough details and analysis to allow other researchers to develop similar systems. en_US
dc.language.iso en en_US
dc.subject Frame labeling en_US
dc.subject Frame element labeling en_US
dc.subject Semantic role labeling en_US
dc.subject Word sense disambiguation en_US
dc.subject Machine learning en_US
dc.title Machine Learning for Automatic Labeling of Frames and Frame Elements in Text en_US
dc.type Article en_US

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