Work

Rollenwechsel-English: a large-scale semantic role corpus

Year: 2018

Type: conference-paper

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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4atchm3v4amc

Authors: Asad Sayeed, Pavel Shkadzko, Vera Demberg

Institutions: University of Gothenburg, Saarland University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Deutsche Forschungsgemeinschaft, Vetenskapsrådet, Göteborgs Universitet

Awards: G1951765764, G893193274