Minh-Quoc Nghiem
2021
Paladin: an annotation tool based on active and proactive learning
Minh-Quoc Nghiem
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Paul Baylis
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Sophia Ananiadou
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
In this paper, we present Paladin, an open-source web-based annotation tool for creating high-quality multi-label document-level datasets. By integrating active learning and proactive learning to the annotation task, Paladin makes the task less time-consuming and requiring less human effort. Although Paladin is designed for multi-label settings, the system is flexible and can be adapted to other tasks in single-label settings.
2018
APLenty: annotation tool for creating high-quality datasets using active and proactive learning
Minh-Quoc Nghiem
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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
Sense Disambiguation: From Natural Language Words to Mathematical Terms
Minh-Quoc Nghiem
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Giovanni Yoko Kristianto
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Goran Topić
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Akiko Aizawa
Proceedings of the Sixth International Joint Conference on Natural Language Processing
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