Parallelizing Machine Learning as a service for the end-user. Input data

Loreti, Daniela (2020) Parallelizing Machine Learning as a service for the end-user. Input data. Università di Bologna. DOI 10.6092/unibo/amsacta/6394. [Dataset]
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[img] Archive (This is the dataset described in: Parallelizing Machine Learning as a Service for the End-User, Daniela Loreti, Marco Lippi, Paolo Torroni, Future Generation Computer Systems 105 (2020) 275-286 DOI: 10.1016/j.future.2019.11.042)
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Abstract

The dataset includes 50 documents downloaded from the Project Gutenberg web site, yielding 466,483 total sentences. The documents are in plain text and in English.

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
Loreti, DanielaDISI, Alma Mater Studiorum - Università di Bologna0000-0002-6507-7565
Keywords
machine learning, natural language processing, argument mining
Subjects
DOI
Contributors
NameAffiliationORCIDType
Lippi, MarcoDISMI, Università di Modena e Reggio-Emilia0000-0002-9663-1071Researcher
Torroni, PaoloDISI, Alma Mater Studiorum - Università di Bologna0000-0002-9253-8638Researcher
Deposit date
03 Jun 2020 10:27
Last modified
03 Jun 2020 10:27
Related identifier
Related identifier typeRelation typeCode
arXivthis upload is supplement tohttps://arxiv.org/abs/2005.14080
DOIthis upload is supplement tohttps://doi.org/10.1016/j.future.2019.11.042
Project name
AI4EU - A European AI On Demand Platform and Ecosystem
Funding program
EC - H2020
URI

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