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.
@inproceedings{nghiem-ananiadou-2018-aplenty, title = "{APL}enty: annotation tool for creating high-quality datasets using active and proactive learning", author = "Nghiem, Minh-Quoc and Ananiadou, Sophia", editor = "Blanco, Eduardo and Lu, Wei", booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations", month = nov, year = "2018", address = "Brussels, Belgium", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/D18-2019/", doi = "10.18653/v1/D18-2019", pages = "108--113", abstract = "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."}
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%0 Conference Proceedings%T APLenty: annotation tool for creating high-quality datasets using active and proactive learning%A Nghiem, Minh-Quoc%A Ananiadou, Sophia%Y Blanco, Eduardo%Y Lu, Wei%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations%D 2018%8 November%I Association for Computational Linguistics%C Brussels, Belgium%F nghiem-ananiadou-2018-aplenty%X 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.%R 10.18653/v1/D18-2019%U https://aclanthology.org/D18-2019/%U https://doi.org/10.18653/v1/D18-2019%P 108-113
[APLenty: annotation tool for creating high-quality datasets using active and proactive learning](https://aclanthology.org/D18-2019/) (Nghiem & Ananiadou, EMNLP 2018)