| Challenge: | Existing annotation tools are desktop applications, allowing the annotation of corpora found on a single computer. |
| Approach: | They propose a new annotation paradigm, casual annotation, and propose an architecture and a reference implementation for the Ellogon Casual Annotation Tool. |
| Outcome: | The proposed paradigm and architecture have been evaluated for more than two years on an annotation task related to sentiment analysis. |
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| Challenge: | Using the Ellogon infrastructure, the ElLogon Web annotation tool is a collaborative, web-based tool with a user-friendly interface. |
| Approach: | They present a new version of the Ellogon Web Annotation Tool . the tool offers document analytics, annotation inspection and comparison features and a modern UI . |
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FAST: Fast Annotation tool for SmarT devices (2021.emnlp-demo)
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| Challenge: | In real-world applications, annotators with the same attributes are required to annotate whether the outputs of natural language generation systems are fluent or not. |
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SLATE: A Super-Lightweight Annotation Tool for Experts (P19-3)
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| Challenge: | a new annotation tool is designed to fill the niche of a lightweight interface for terminal users . current tools are built with direct manipulation via a Graphical User Interface (GUI) this approach is time-consuming and difficult to modify . |
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Integrating INCEpTION into larger annotation processes (2024.emnlp-demo)
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FITAnnotator: A Flexible and Intelligent Text Annotation System (2021.naacl-demos)
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| Challenge: | In this paper, we introduce FITAnnotator, a generic web-based tool for efficient text annotation. |
| Approach: | They propose a generic web-based tool for efficient text annotation. |
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Paladin: an annotation tool based on active and proactive learning (2021.eacl-demos)
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| Challenge: | Existing tools for active learning focus on the active learning algorithms and provide no user interface thus making it difficult to use for the end-users. |
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Corpus Considerations for Annotator Modeling and Scaling (2024.naacl-long)
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| Challenge: | Recent trends in natural language processing and annotation tasks emphasize individual perspectives . annotator models that rely on a single ground truth may disregard valuable minority perspectives omissions . |
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LightTag: Text Annotation Platform (2021.emnlp-demo)
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| Challenge: | LightTag is a text annotation tool built on the premise of global optimization by addressing annotator as well as project managers and data scientists who manage the work and enforce production quality. |
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HUMAN: Hierarchical Universal Modular ANnotator (2020.emnlp-demos)
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| Challenge: | HUMAN is a web-based annotation tool that covers a variety of annotation tasks on textual and image data. |
| Approach: | They propose a web-based annotation tool that covers a variety of annotation tasks on textual and image data. |
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Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation (2024.findings-emnlp)
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| Challenge: | In subjective tasks, the inclusion of diverse annotators is crucial as their unique perspectives significantly influence the annotations. |
| Approach: | They propose a framework that minimizes the annotation budget while maximizing the predictive performance for each annotator. |
| Outcome: | The proposed framework surpasses the previous SOTA in capturing the annotators’ individual perspectives with as little as 25% of the original annotation budget on two datasets. |