We present the Rollenwechsel-English (RW-eng) corpus, a large corpus of automatically-labelled semantic frames extracted from the ukWaC corpus and BNC using Propbank roles. RW-eng contains both full-phrase constituents for labelled roles as well as heads identified by a series of heuristics. This corpus is of a scale and size suitable for new deep learning approaches to language modelling and distributional semantics, particularly as it pertains to generalized event knowledge. We describe the structure of this corpus, tools for its use, and successful use cases.
@InProceedings{SAYEED18.922, author = {Asad Sayeed and Pavel Shkadzko and Vera Demberg}, title = "{Rollenwechsel-English: a large-scale semantic role corpus}", 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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