Papers by Kanyao Han

2 papers
Detecting Impact Relevant Sections in Scientific Research (2024.lrec-main)

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Challenge: Impact assessment is an evolving area of research that aims at measuring and predicting the potential effects of projects or programs.
Approach: They propose a framework for automatically assessing the impact of scientific research by identifying pertinent sections in project reports that indicate potential impacts.
Outcome: The proposed method achieves accuracy scores up to 0.81 and is generalizable to scientific research from different domains and languages.
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics (2024.emnlp-main)

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Challenge: Recent studies have used prompt-based fine-tuning methods for text classification tasks . however, the difficulty and costs of manually selecting domain label terms for the verbalizer remain unexplored .
Approach: They propose a framework to automatically retrieve scientific topic-related terms for low-resource text classification tasks.
Outcome: The proposed method outperforms state-of-the-art methods on scientific text classification tasks under few and zero-shot settings.

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