This paper describes a project for constructing FrameNet annotations in Korean over the KAIST treebank corpus to scale up the Korean FrameNet resource. Annotating FrameNet over raw sentences is an expensive and complex task, because of which we have designed this project using a semi-automatic annotation approach. This paper describes the approach and its expected results. As a first step, we built a lexical database of the Korean FrameNet, and used it to learn the model for automatic annotation. Its current scope, status, and limitations are discussed in this paper.
@InProceedings{HAHM18.356, author = {Younggyun Hahm and Jiseong Kim and Sunggoo Kwon and KEY-SUN CHOI}, title = "{Semi-automatic Korean FrameNet Annotation over KAIST Treebank}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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