We report on an ongoing project to link Japanese FrameNet (JFN) annotated sentences and example sentences in Kyoto University Case Frames (KCF) that share the same meaning of a predicate, by way of crowdsourcing. JFN is a language resource that assigns a “cognitive frame” (script-like conceptual structures that describe a particular type of situation, object, or event along with its participants and props) to each sense of Japanese words. Cognitive frames correspond to word meanings. JFN is constructed manually. Each “case frame” in KCF is represented as a predicate and a set of its case filler words. KCF was automatically constructed from 10 billion Japanese sentences taken from Web pages. By linking JFN annotated sentences and example sentences in KCF that share the same meaning of a predicate, we can increase the number of annotated sentences in JFN and also add semantic information to each case frame in KCF. We use JFN cognitive frames to link the data in the two language resources. We crowdsourced this task to ensure rapid and large-scale mappings between the two resources. Our preliminary results suggest that the proposed crowdsourcing method for linking the resources is effective.
@InProceedings{OHARA18.13, author = {Kyoko Ohara ,Daisuke Kawahara ,Satoshi Sekine and Kentaro Inui}, title = {Linking Japanese FrameNet with Kyoto University Case Frames Using Crowdsourcing}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Tiago Timponi Torrent and Lars Borin and Collin F. Baker}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-04-7}, language = {english} }
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