Search Results for author: Xanh Ho

Found 4 papers, 3 papers with code

Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering

2 code implementations12 Feb 2023 Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa

To explain the predicted answers and evaluate the reasoning abilities of models, several studies have utilized underlying reasoning (UR) tasks in multi-hop question answering (QA) datasets.

Multi-hop Question Answering Open-Ended Question Answering

How Well Do Multi-hop Reading Comprehension Models Understand Date Information?

1 code implementation11 Oct 2022 Xanh Ho, Saku Sugawara, Akiko Aizawa

Other results reveal that our probing questions can help to improve the performance of the models (e. g., by +10. 3 F1) on the main QA task and our dataset can be used for data augmentation to improve the robustness of the models.

Data Augmentation Multi-Hop Reading Comprehension +1

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

1 code implementation COLING 2020 Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, Akiko Aizawa

The evidence information has two benefits: (i) providing a comprehensive explanation for predictions and (ii) evaluating the reasoning skills of a model.

Multi-hop Question Answering Question Answering

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