2 code implementations • 12 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 +1
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.
1 code implementation • Workshop on Noisy User-generated Text 2020 • Mohammad Golam Sohrab, Anh-Khoa Duong Nguyen, Makoto Miwa, Hiroya Takamura
In relation extraction task, we achieved 80. 46% in terms of F-score as the top system in the relation extraction or recognition task.
Ranked #1 on Named Entity Recognition (NER) on WNUT 2020
no code implementations • WS 2019 • Hai-Long Trieu, Anh-Khoa Duong Nguyen, Nhung Nguyen, Makoto Miwa, Hiroya Takamura, Sophia Ananiadou
Additionally, the proposed model is able to detect coreferent pairs in long distances, even with a distance of more than 200 sentences.