A Web-based Tool for Detecting Argument Validity and Novelty

Sandrine Chausson; Ameer Saadat-Yazdi; Xue Li; Jeff Z. Pan; Vaishak Belle; Nadin Kokciyan; Björn Ross

doi:10.5555/3545946.3599170

A Web-based Tool for Detecting Argument Validity and Novelty

Sandrine Chausson, Ameer Saadat-Yazdi, Xue Li, Jeff Z. Pan, Vaishak Belle, Nadin Kokciyan, Björn Ross

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Individuals engage in arguments on an everyday basis as they seek to obtain information about current affairs and engage with social media. While fact-checkers are available to help dispel misinformation, it is almost impossible for users to verify every single claim they encounter. This means that oftentimes, it is left to the user to decide whether a claim is well supported. To address this, we have developed a Web interface that allows users to input an argument, and our developed framework automatically detects its validity (soundness of logical deduction) and novelty (whether the argument is non-circular). Our Web-based tool could be used by social media users who wish to evaluate the information they consume. As part of one of the modules developed at the University of Edinburgh, our tool will be deployed as a teaching tool for the students who study argumentation.

Original language	English
Title of host publication	Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
Place of Publication	Richland, SC
Publisher	International Foundation for Autonomous Agents and Multiagent Systems
Pages	3053–3055
Number of pages	3
ISBN (Electronic)	9781450394321
DOIs	https://doi.org/10.5555/3545946.3599170
Publication status	Published - 30 May 2023
Event	The 22nd International Conference on Autonomous Agents and Multiagent Systems - ExCel London, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 Conference number: 22 https://aamas2023.soton.ac.uk/

Conference

Conference	The 22nd International Conference on Autonomous Agents and Multiagent Systems
Abbreviated title	AAMAS 2023
Country/Territory	United Kingdom
City	London
Period	29/05/23 → 2/06/23
Internet address	https://aamas2023.soton.ac.uk/

Keywords / Materials (for Non-textual outputs)

computational argumentation
neural networks
knowledge graphs
natural language inference

Access to Document

10.5555/3545946.3599170Licence: All Rights Reserved

A Web-based Tool_CHAUSSON_DOA07032023_AFV_CC-BYAccepted author manuscript, 835 KBLicence: Creative Commons: Attribution (CC-BY)

https://dl.acm.org/doi/abs/10.5555/3545946.3599170Licence: All Rights Reserved

TEAMER : Teaching Machines to Reason Like Humans
Lapata, M.
UK central government bodies/local authorities, health and hospital authorities
1/10/21 → 30/09/26
Project: Research

Cite this

Chausson, S., Saadat-Yazdi, A., Li, X., Pan, J. Z., Belle, V., Kokciyan, N., & Ross, B. (2023). A Web-based Tool for Detecting Argument Validity and Novelty. In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (pp. 3053–3055). International Foundation for Autonomous Agents and Multiagent Systems. https://doi.org/10.5555/3545946.3599170

@inproceedings{4bb3a582c7904812818522679ab3a5fb,

title = "A Web-based Tool for Detecting Argument Validity and Novelty",

abstract = "Individuals engage in arguments on an everyday basis as they seek to obtain information about current affairs and engage with social media. While fact-checkers are available to help dispel misinformation, it is almost impossible for users to verify every single claim they encounter. This means that oftentimes, it is left to the user to decide whether a claim is well supported. To address this, we have developed a Web interface that allows users to input an argument, and our developed framework automatically detects its validity (soundness of logical deduction) and novelty (whether the argument is non-circular). Our Web-based tool could be used by social media users who wish to evaluate the information they consume. As part of one of the modules developed at the University of Edinburgh, our tool will be deployed as a teaching tool for the students who study argumentation.",

keywords = "computational argumentation, neural networks, knowledge graphs, natural language inference",

author = "Sandrine Chausson and Ameer Saadat-Yazdi and Xue Li and Pan, {Jeff Z.} and Vaishak Belle and Nadin Kokciyan and Bj{\"o}rn Ross",

note = "This work was supported by the ELIAI (Edinburgh Laboratory for Integrated Artificial Intelligence) EPSRC (grant no EP/W002876/1); the UKRI (grant EP/S022481/1) and the University of Edinburgh; the Edinburgh-Huawei Joint Lab and Huawei{\textquoteright}s grant CIENG4721/LSC. ; The 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 ; Conference date: 29-05-2023 Through 02-06-2023",

year = "2023",

month = may,

day = "30",

doi = "10.5555/3545946.3599170",

language = "English",

pages = "3053–3055",

booktitle = "Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems",

publisher = "International Foundation for Autonomous Agents and Multiagent Systems",

url = "https://aamas2023.soton.ac.uk/",

}

Chausson, S, Saadat-Yazdi, A, Li, X , Pan, JZ , Belle, V , Kokciyan, N & Ross, B 2023, A Web-based Tool for Detecting Argument Validity and Novelty. in Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, pp. 3053–3055, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23. https://doi.org/10.5555/3545946.3599170

A Web-based Tool for Detecting Argument Validity and Novelty. / Chausson, Sandrine; Saadat-Yazdi, Ameer; Li, Xue et al.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, 2023. p. 3053–3055.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Web-based Tool for Detecting Argument Validity and Novelty

AU - Chausson, Sandrine

AU - Saadat-Yazdi, Ameer

AU - Li, Xue

AU - Pan, Jeff Z.

AU - Belle, Vaishak

AU - Kokciyan, Nadin

AU - Ross, Björn

N1 - Conference code: 22

PY - 2023/5/30

Y1 - 2023/5/30

N2 - Individuals engage in arguments on an everyday basis as they seek to obtain information about current affairs and engage with social media. While fact-checkers are available to help dispel misinformation, it is almost impossible for users to verify every single claim they encounter. This means that oftentimes, it is left to the user to decide whether a claim is well supported. To address this, we have developed a Web interface that allows users to input an argument, and our developed framework automatically detects its validity (soundness of logical deduction) and novelty (whether the argument is non-circular). Our Web-based tool could be used by social media users who wish to evaluate the information they consume. As part of one of the modules developed at the University of Edinburgh, our tool will be deployed as a teaching tool for the students who study argumentation.

AB - Individuals engage in arguments on an everyday basis as they seek to obtain information about current affairs and engage with social media. While fact-checkers are available to help dispel misinformation, it is almost impossible for users to verify every single claim they encounter. This means that oftentimes, it is left to the user to decide whether a claim is well supported. To address this, we have developed a Web interface that allows users to input an argument, and our developed framework automatically detects its validity (soundness of logical deduction) and novelty (whether the argument is non-circular). Our Web-based tool could be used by social media users who wish to evaluate the information they consume. As part of one of the modules developed at the University of Edinburgh, our tool will be deployed as a teaching tool for the students who study argumentation.

KW - computational argumentation

KW - neural networks

KW - knowledge graphs

KW - natural language inference

U2 - 10.5555/3545946.3599170

DO - 10.5555/3545946.3599170

M3 - Conference contribution

SP - 3053

EP - 3055

BT - Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems

PB - International Foundation for Autonomous Agents and Multiagent Systems

CY - Richland, SC

T2 - The 22nd International Conference on Autonomous Agents and Multiagent Systems

Y2 - 29 May 2023 through 2 June 2023

ER -

A Web-based Tool for Detecting Argument Validity and Novelty

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

TEAMER : Teaching Machines to Reason Like Humans

Cite this