Papers by Boaz Shmueli

3 papers
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing (2021.naacl-main)

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Challenge: Ethical considerations regarding the use of crowdworkers are limited to labor conditions . the Final Rule did not anticipate the use online crowdsourcing platforms for data collection .
Approach: They propose to reopen discussion regarding ethical use of crowdworkers in NLP research . they propose to use online crowdsourcing platforms to evaluate risk of harm .
Outcome: The proposed study identifies common scenarios where crowdworkers performing NLP tasks are at risk of harm.
Reactive Supervision: A New Method for Collecting Sarcasm Data (2020.emnlp-main)

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Challenge: sarcasm detection requires large amounts of labeled data, with a high cost and noisy labels.
Approach: They propose a method that uses the dynamics of online conversations to collect sarcasm data.
Outcome: The proposed method can be adapted to other affective computing domains, opening up new research opportunities.
Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter (2021.acl-short)

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Challenge: Existing methods for labeling emotions in text are limited, but they can be useful for many tasks.
Approach: They propose a method to collect texts with induced emotion and induced sentiment labels.
Outcome: The proposed method can augment the data with induced emotion and induced sentiment labels.

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