WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations

By Seid Muhie Yimam, Iryna Gurevych, Richard Eckart de Castilho, Chris Biemann. 2013

259 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Amir Zeldes
2. Alexander M. Rush
3. Rachel Rudinger
4. Thibault Févry
5. Shanya Sharma Sharma
6. Han Wang
7. Jie Yang
8. Manfred Pinkal

In Human-Computer Interaction

1. Amir Zeldes
2. Chris Biemann
3. Andreas Holzinger
4. Alexander M. Rush
5. Saurav Prakash
6. Amir Salman Avestimehr

Citations in the corpus

• PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022, background): “Since then, many Webbased systems for annotating text have been developed (Stenetorp et al., 2012; Salgado et al., 2012; Wei et al., 2013; Yimam et al., 2013; Chen and Styler, 2013; Eckart de Castilho et al., 2016; Putra et al., 2020).”
• Learning to predict script events from domain-specific text (2015, methodology): “We used the WebAnno platform for annotation (Yimam et al., 2013).”
• Redcoat: A Collaborative Annotation Tool for Hierarchical Entity Typing (2019, background): “WebAnno (Yimam et al., 2013), based on the BRAT editor, features a strong emphasis on crowdsourcing via the CrowdFlower platform 4 .”
• TIARA: A Tool for Annotating Discourse Relations and Sentence Reordering (2020, methodology): “Built in the same spirit as BRAT , WebAnno 9 (Yimam et al., 2013) offers additional management and monitoring features.”
• The GUM corpus: creating multilayer resources in the classroom (2016, methodology): “Coreference, entity types and information status were annotated simultaneously using WebAnno (Yimam et al. 2013).”
• FITAnnotator: A Flexible and Intelligent Text Annotation System (2021, background): “In the early days, platforms for linguistic annotations such as O’Donnell (2008), BART (Stenetorp et al., 2012), WebAnno-13 (Yimam et al., 2013) mainly focused on providing a visual interface for user labeling process, making annotation accessible to non-expert users.”
• An adaptive annotation approach for biomedical entity and relation recognition (2016, methodology): “WebAnno features an in-build automation mechanism as described in [35].”
• YEDDA: A Lightweight Collaborative Text Span Annotation Tool (2017, methodology): “WebAnno (Yimam et al., 2013; de Castilho et al., 2016) supports both the automatic annotation suggestion and annotation quality monitoring such as inter-annotator agreement measurement, data curation, and progress monitoring.”