Papers by Anh-Khoa Duong Nguyen

3 papers
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering (2023.findings-eacl)

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Challenge: Existing studies have utilized underlying reasoning (UR) tasks in multi-hop question answering datasets to explain the predicted answers and evaluate models' reasoning abilities.
Approach: They analyze UR tasks in QA datasets to determine their effectiveness . they find that UR task is helpful in preventing reasoning shortcuts .
Outcome: The proposed model improves QA performance, reasoning shortcuts, and robustness on adversarial questions.
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps (2020.coling-main)

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Challenge: Existing multi-hop question answering datasets do not provide a complete explanation for the reasoning process from the question to the answer.
Approach: They propose a multi-hop question answering dataset that uses structured and unstructured data to test reasoning skills.
Outcome: The proposed dataset ensures multi-hop reasoning while being challenging for multi-models.
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering (D19-57)

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Challenge: Existing systems for coreference resolution are difficult because of their long coreferent chains.
Approach: They propose to use an existing span-based neural coreference resolution system as a baseline . they filter noisy mentions based on parse trees and integrate a highly expressive language model into the system .
Outcome: The proposed system outperforms the baseline system on the CRAFT Shared Tasks 2019 task.

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