APLenty is an annotation tool developed at NaCTeM as part of the EMPATHY project 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.
Quick start video
📰 Minh-Quoc Nghiem, Sophia Ananiadou: APLenty: annotation tool for creating high-quality datasets using active and proactive learning. EMNLP (Demonstration) 2018: 108-113
📰 Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou: Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. NAACL-HLT (1) 2019: 2873-2883
📰 Maolin Li, Nhung T. H. Nguyen, Sophia Ananiadou: Proactive Learning for Named Entity Recognition. BioNLP 2017: 117-125
If you wish to use APLenty, please contact us to request an account.