Don’t Drop the Topic - The Role of the Prompt in Argument Identification in Student Writing
2022-07-01NAACL (BEA) 2022Code Available0· sign in to hype
Yuning Ding, Marie Bexte, Andrea Horbach
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Abstract
In this paper, we explore the role of topic information in student essays from an argument mining perspective. We cluster a recently released corpus through topic modeling into prompts and train argument identification models on different data settings. Results show that, given the same amount of training data, prompt-specific training performs better than cross-prompt training. However, the advantage can be overcome by introducing large amounts of cross-prompt training data.