Opening Up Minds: Engaging Dialogue Generated From Argument Maps
Lead Research Organisation:
University of Cambridge
Department Name: Computer Science and Technology
Abstract
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Organisations
People |
ORCID iD |
| Andreas Vlachos (Principal Investigator) |
Publications
De Kock C.
(2021)
I beg to differ: A study of constructive disagreement in online conversations
in EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference
De Kock C.
(2021)
Survival text regression for time-to-event prediction in conversations
in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
De Kock C.
(2022)
Leveraging Wikipedia article evolution for promotional tone detection
in Proceedings of the Annual Meeting of the Association for Computational Linguistics
De Kock C.
(2022)
How to disagree well: Investigating the dispute tactics used on Wikipedia
in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
Farag Y
(2022)
Opening up Minds with Argumentative Dialogues
| Description | We have collected a dataset where human participants have conversations on controversial topics. These conversations are assessed as to what extent they have opened up the minds of the participants to the other side of an argument. We have also developed a dialogue agent able to achieve positive changes in the attitudes of users towards the opposite side of an argument. |
| Exploitation Route | This dataset can be used to study how to have constructive conversations on controversial topics. Also the dialogue agent methodology can be used by other developers. |
| Sectors | Digital/Communication/Information Technologies (including Software),Education,Government, Democracy and Justice |
| Description | DEliData: Deliberation Enhancing Data |
| Amount | £3,500 (GBP) |
| Organisation | University of Cambridge |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 02/2021 |
| End | 08/2021 |
| Description | Empirical evaluation of Graham's hierarchy of disagreement |
| Amount | £2,480 (GBP) |
| Organisation | University of Cambridge |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 08/2021 |
| End | 02/2022 |
| Title | Argumentative Dialogues for Opening Up Minds |
| Description | Our dataset is the first dialogue corpus that aims at fostering open-minded thinking. . We collected 183 dialogues about three controversial topics (veganism, Brexit and COVID-19 vaccination), using the Wizard of Oz (WoZ) approach. The wizards utilised arguments sourced from publicly available debate platforms to chat with participants. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| Impact | It has been used in this paper: https://aclanthology.org/2022.findings-emnlp.335.pdf |
| URL | https://github.com/Youmna-H/OUMDials |
| Title | DeliData: A dataset for deliberation in multi-party problem solving |
| Description | Small groups participate in a group discussion to solve the Wason card selection task. The dataset was collected both in a controlled in-lab experiment and in-the-wild data collection on MechanicalTurk. 50 dialogues annotated with a novel annotation schema that captures deliberation cues |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | It has resulted in this pre-print paper: https://arxiv.org/abs/2108.05271 |
| URL | https://www.delibot.xyz/delidata/ |
| Title | WikiDisputes |
| Description | A corpus of 7 425 Wikipedia Talk page conversations that contain content disputes, and define the task of predicting whether disagreements will be escalated to mediation by a moderator |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| Impact | It allowed to do research in predicting the length of a conversation in this paper: https://aclanthology.org/2021.findings-acl.104.pdf |
| URL | https://github.com/christinedekock11/wikidisputes |
| Description | Invited lecture at the Oxford Machine Learning Summer School |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Gave a talk partly based on research in this grant at this prestigious summer school. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://www.oxfordml.school/2021-speakers |
| Description | Talk at CLEF2021 - CheckThat! Lab Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Gave an invited talk at a well established workshop on fact checking and misinformation |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://sites.google.com/view/clef2021-checkthat/ |