Minh-Quoc Nghiem


2018

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APLenty: annotation tool for creating high-quality datasets using active and proactive learning
Minh-Quoc Nghiem | Sophia Ananiadou
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

In this paper, we present APLenty, an annotation tool for creating high-quality sequence labeling datasets using active and proactive learning. A major innovation of our tool is the integration of automatic annotation with active learning and proactive learning. This makes the task of creating labeled datasets easier, less time-consuming and requiring less human effort. APLenty is highly flexible and can be adapted to various other tasks.

2013

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Sense Disambiguation: From Natural Language Words to Mathematical Terms
Minh-Quoc Nghiem | Giovanni Yoko Kristianto | Goran Topić | Akiko Aizawa
Proceedings of the Sixth International Joint Conference on Natural Language Processing