Papers by Noriko Kando
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice (2025.acl-long)
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| Challenge: | standardized questionnaires are essential tools for mental health screening, but computational approaches bypass these tools in favor of black-box classification. |
| Approach: | They propose a questionnaire-guided screening framework that bridges psychological practice and computational methods through adaptive Retrieval-Augmented Generation. |
| Outcome: | The proposed framework matches or outperforms state-of-the-art performance on Reddit-based benchmarks and extends to self-harm screening. |
Opinion Mining with Deep Contextualized Embeddings (N19-3)
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| Challenge: | Existing methods for opinion expression detection are based on token-level sequence labeling . |
| Approach: | They propose to use BERT and conditional random field embedders to detect opinion expressions. |
| Outcome: | The proposed model outperforms ELMo embedders in opinion expression detection. |
Coding Open-Ended Responses using Pseudo Response Generation by Large Language Models (2024.naacl-srw)
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| Challenge: | Existing pipelines for survey research using open-ended responses require time and cost-consuming manual tasks. |
| Approach: | They propose an LLM-based method to automate parts of the grounded theory approach . they generate and annotate pseudo open-ended responses and use them as training data . |
| Outcome: | The proposed method is highly efficient andcost-saving compared to human-based methods. |
Extraction of the Argument Structure of Tokyo Metropolitan Assembly Minutes: Segmentation of Question-and-Answer Sets (2020.lrec-1)
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Keiichi Takamaru, Yasutomo Kimura, Hideyuki Shibuki, Hokuto Ototake, Yuzu Uchida, Kotaro Sakamoto, Madoka Ishioroshi, Teruko Mitamura, Noriko Kando
| Challenge: | a study analyzed local assembly minutes in Japan using a unified format . local assembly minute data is expensive to analyze because of the different ways they are released to the public. |
| Approach: | They construct a corpus of Japanese local assembly minutes based on local autonomy law . they structured all statements in assembly minutes and extracted question and answer pairs . |
| Outcome: | The results show that the minutes are the primary information for local politics. |
Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain (2024.lrec-main)
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| Challenge: | Argument mining is a complex process that requires a large amount of resources and time. |
| Approach: | They propose to analyze arguments in three different languages and domains to understand their robustness to natural language variations. |
| Outcome: | The proposed systems are more robust to natural language variations than existing arguments mining systems. |