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Rollenwechsel-English: a large-scale semantic role corpus

Conference paper
Authors Asad Sayeed
P. Shkadzko
V. Demberg
Published in LREC 2018, Eleventh International Conference on Language Resources and Evaluation, May 7-12, 2018, Miyazaki, Japan
ISBN 979-10-95546-00-9
Publisher European Language Resources Association
Place of publication Paris, France
Publication year 2018
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Links www.lrec-conf.org/proceedings/lrec2...
Keywords semantic roles, web corpus, labelled data, computational linguistics, machine learning, natural language processing
Subject categories Computational linguistics

Abstract

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.

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