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Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection.

, , , and . NLDB, volume 12801 of Lecture Notes in Computer Science, page 275-288. Springer, (2021)

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Development and Validation of Extrinsic Motivation Scale for Crowdsourcing Micro-task Platforms., , , and . CrowdMM, page 31-36. ACM, (2014)Towards Automated Dialog Personalization using MBTI Personality Indicators., , , and . INTERSPEECH, page 1968-1972. ISCA, (2022)Crowdee: mobile crowdsourcing micro-task platform for celebrating the diversity of languages., , , , and . INTERSPEECH, page 1496-1497. ISCA, (2014)Argument Mining in Tweets: Comparing Crowd and Expert Annotations for Automated Claim and Evidence Detection., , , and . NLDB, volume 12801 of Lecture Notes in Computer Science, page 275-288. Springer, (2021)Towards Personality-Aware Chatbots., , , , and . SIGDIAL, page 135-145. Association for Computational Linguistics, (2022)Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking., , , , , , and . MAD@ICMR, page 91-100. ACM, (2024)Effect of trapping questions on the reliability of speech quality judgments in a crowdsourcing paradigm., , , , and . INTERSPEECH, page 2799-2803. ISCA, (2015)Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization., , and . LREC, page 245-253. European Language Resources Association, (2020)Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora., , , , and . LREC, European Language Resources Association (ELRA), (2016)Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems., , , , and . VISIGRAPP (2: HUCAPP), page 267-278. SCITEPRESS, (2023)