Open AccessMachine Learning for Automatic Labeling of Frames and Frame Elements in Text
Author(s) -
Martin Scaiano
Publication year - 2011
Publication title -
international journal of linguistics
Language(s) - English
Resource type - Journals
ISSN - 1948-5425
DOI - 10.5296/ijl.v3i1.648
Subject(s) - framenet , computer science , frame (networking) , task (project management) , natural language processing , artificial intelligence , representation (politics) , semantics (computer science) , programming language , engineering , parsing , law , telecommunications , political science , systems engineering , politics
The development of systems that extract a frame representation of text can lead to deepersemantics being used in natural language processing. We present the development of oursystem for extracting frames from text. Our system is trained on the FrameNet data and testedon the SemEval 2007: Task 19 Frame Extraction Task data. We use machine learning forlabeling frames and frame elements, resulting in system with a good performance. Weprovide a detailed analysis of our methods, challenges, and results. We also provide enoughdetails and analysis to allow other researchers to develop similar systems
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