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

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
dc.date.issued	2011-10-28
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.
dc.identifier.doi	10.5296/ijl.v3i1.648
dc.identifier.uri	http://hdl.handle.net/10393/20338
dc.identifier.uri	http://www.macrothink.org/journal/index.php/ijl/article/view/648/pdf_12
dc.language.iso	en
dc.subject	Frame labeling
dc.subject	Frame element labeling
dc.subject	Semantic role labeling
dc.subject	Word sense disambiguation
dc.subject	Machine learning
dc.title	Machine Learning for Automatic Labeling of Frames and Frame Elements in Text
dc.type	Article

Files

Now showing 1 - 1 of 1

Name:: Inkpen_Diana_2011_Machine Learning for Automatic Labeling of Frames.pdf
Size:: 135.85 KB
Format:: Adobe Portable Document Format

Now showing 1 - 1 of 1