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Publication type: Conference paper
Type of review: Editorial review
Title: The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021
Authors: Tuggener, Don
Aghaebrahimian, Ahmad
et. al: No
DOI: 10.21256/zhaw-23258
Proceedings: Proceedings of the Swiss Text Analytics Conference 2021
Conference details: Swiss Text Analytics Conference – SwissText 2021, Online, 14-16 June 2021
Issue Date: 29-Sep-2021
Publisher / Ed. Institution: CEUR Workshop Proceedings
ISSN: 1613-0073
Language: English
Subjects: Natural language processing
Subject (DDC): 006: Special computer methods
410.285: Computational linguistics
Abstract: This paper describes the first Sentence End and Punctuation Prediction in Natural Language Generation (SEPP-NLG) shared task1 held at the SwissText conference 2021. The goal of the shared task was to develop solutions for the identification of sentence boundaries and the insertion of punctuation marks into texts produced by NLG systems. The data and submissions, and the codebase for the shared tasks are publicly available.
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
School of Engineering
Organisational Unit: Centre for Artificial Intelligence (CAI)
Institute of Computational Life Sciences (ICLS)
Published as part of the ZHAW project: Interscriber: Turning Dialogues into Actionable Insights
Appears in collections:Publikationen School of Engineering

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