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2020
Rodosthenous, Christos
Understanding Stories Using Crowdsourced Commonsense Knowledge Journal Article
In: Online Handbook of Argumentation for AI , 2020.
Abstract | BibTeX | Tags: argumentation, Commonsense Knowledge, crowdsourcing | Links:
@article{rodosthenous_2020.3,
title = {Understanding Stories Using Crowdsourced Commonsense Knowledge},
author = {Christos Rodosthenous},
url = {https://arxiv.org/pdf/2006.12020.pdf},
year = {2020},
date = {2020-06-01},
journal = {Online Handbook of Argumentation for AI },
abstract = {This paper presents work on automated story understanding by using commonsense knowledge acquired from human contributors. A description of the methodology followed for acquiring this knowledge is depicted, followed by a presentation on how argumentation is used for representing commonsense knowledge. Furthermore this work includes a presentation of tools that are designed and developed to acquire and apply knowledge for the purpose of understanding stories.},
keywords = {argumentation, Commonsense Knowledge, crowdsourcing},
pubstate = {published},
tppubtype = {article}
}
2019
Rodosthenous, Christos; Lyding, Verena; König, Alexander; Horbacauskiene, Jolita; Katinskaia, Anisia; ul Hassan, Umair; Isaak, Nicos; Sangati, Federico; Nicolas, Lionel
Designing a Prototype Architecture for Crowdsourcing Language Resources Proceedings Article
In: Declerck, Thierry; McCrae, John P. (Ed.): Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), pp. 17–23, CEUR, 2019.
Abstract | BibTeX | Tags: Commonsense Knowledge, ConceptNet, crowdsourcing, enetCollect, Knowledge Bases, Language learning, Language Resources, Lexicon | Links:
@inproceedings{enetcollect1,
title = {Designing a Prototype Architecture for Crowdsourcing Language Resources},
author = {Christos Rodosthenous and Verena Lyding and Alexander König and Jolita Horbacauskiene and Anisia Katinskaia and Umair ul Hassan and Nicos Isaak and Federico Sangati and Lionel Nicolas},
editor = {Thierry Declerck and John P. McCrae},
url = {http://ceur-ws.org/Vol-2402/paper4.pdf},
year = {2019},
date = {2019-07-10},
booktitle = { Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019)},
volume = {Vol-2402},
pages = {17--23},
publisher = {CEUR},
abstract = {We present an architecture for crowdsourcing
language resources from language learners and a prototype implementation of it as a vocabulary trainer. The vocabulary trainer relies on lexical resources from the ConceptNet semantic network to generate exercises while using the learners' answers to improve the resources used for the exercise generation.},
keywords = {Commonsense Knowledge, ConceptNet, crowdsourcing, enetCollect, Knowledge Bases, Language learning, Language Resources, Lexicon},
pubstate = {published},
tppubtype = {inproceedings}
}
language resources from language learners and a prototype implementation of it as a vocabulary trainer. The vocabulary trainer relies on lexical resources from the ConceptNet semantic network to generate exercises while using the learners' answers to improve the resources used for the exercise generation.
Rodosthenous, Christos; Michael, Loizos
A Platform for Commonsense Knowledge Acquisition Using Crowdsourcing Proceedings Article
In: Zdravkova, Katerina; Fort, Karёn; Bédi, Branislav (Ed.): Proceedings of the enetCollect WG3 & WG5 Meeting 2018, pp. 25–30, CEUR, 2019.
Abstract | BibTeX | Tags: cloze tests, Commonsense Knowledge, crowdsourcing, Games With A Purpose | Links:
@inproceedings{Rodosthenous2019,
title = {A Platform for Commonsense Knowledge Acquisition Using Crowdsourcing},
author = {Christos Rodosthenous and Loizos Michael},
editor = {Katerina Zdravkova and Karёn Fort and Branislav Bédi },
url = {http://ceur-ws.org/Vol-2390/PaperB1.pdf},
year = {2019},
date = {2019-06-26},
booktitle = {Proceedings of the enetCollect WG3 & WG5 Meeting 2018},
volume = {Vol-2390},
pages = {25--30},
publisher = {CEUR},
abstract = {In this article, we present our work on developing and using a crowdsourcing platform for acquiring commonsense knowledge aiming to create machines that are able to understand stories. More specifically, we present a platform that has been used in the development of a crowdsourcing application and two Games With A Purpose. The platform’s specifications and features are presented along with examples of applying them in developing the aforementioned applications. The article concludes with pointers on how the crowdsourcing platform can be utilized for language learning, referencing relevant work on developing a prototype application for a vocabulary trainer.},
keywords = {cloze tests, Commonsense Knowledge, crowdsourcing, Games With A Purpose},
pubstate = {published},
tppubtype = {inproceedings}
}