Papers by Saketh Kotamraju

2 papers
Written Justifications are Key to Aggregate Crowdsourced Forecasts (2021.findings-emnlp)

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Challenge: aggregating crowdsourced forecasts benefits from modeling written justifications . a majority of respondents support the idea that crowds are more reliable than experts .
Approach: They propose to model written justifications for crowdsourced questions by analyzing their results in a literature review.
Outcome: The results show that the written justifications are beneficial to call a question throughout its life except in the last quarter.
Interpreting Answers to Yes-No Questions in User-Generated Content (2023.findings-emnlp)

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Challenge: Existing studies on yes-no questions outside social media have found that yes and no keywords are rare in answers.
Approach: They propose a corpus of 4,442 yes-no question-answer pairs from twitter . they find that yes and no keywords are rare in answers and poor indicators of correct interpretation .
Outcome: The proposed corpus of 4,442 yes-no question-answer pairs shows that large language models are far from solving the problem.

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