Papers with real-time inter-annotator agreement

2 papers
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (P19-3)

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Challenge: Existing sequence annotation tools focus on improving user interfaces and user interface.
Approach: They propose an open-source web-based data annotation framework for sequence tagging tasks . the framework is based on active learning and automatic crowd consolidation .
Outcome: The proposed framework is a comprehensive solution for sequence labeling tasks . it can be deployed in downstream systems while new annotations are being made .
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot (2020.coling-demos)

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Challenge: Using conversation with a chatbot, we create annotating and creating datasets through conversation with an open-source platform called Annobot.
Approach: They propose an open-source platform for annotating and creating datasets through conversation with a chatbot.
Outcome: The proposed platform has a wide range of applications including data labelling for binary, multi-class/label classification tasks, preparing data for regression problems and creating sets for issues such as machine translation, question answering or text summarization.

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