Papers by Nhan Dam
Scene Graph Modification Based on Natural Language Commands (2020.findings-emnlp)
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Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam
| Challenge: | Numerous parsing methods have been developed for a single sentence, while a typical human-computer interaction session or conversation is not singleturn. |
| Approach: | They propose to modify an existing scene graph given a new user's command by using graph-based sparse transformer and cross attention information fusion to improve performance. |
| Outcome: | The proposed models outperform previous systems adapted from the machine translation and graph generation literature and contribute to the research community. |
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering (2020.coling-main)
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| Challenge: | Interpretability and explainability of deep neural net models are always challenging due to their size and complexity. |
| Approach: | They propose to design an explainable, evidence-based memory network architecture that connects current sample with seen samples and bases its decision on these samples. |
| Outcome: | The proposed model can trace errors to training instances that might have caused errors . the proposed model achieves state-of-the-art performance on two popular datasets . |