--- title: "Richard Eckart de Castilho — author profile and papers" description: "Richard Eckart de Castilho: 2 papers on Elamur Research (2013–2018), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/richard-eckart-de-castilho/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/richard-eckart-de-castilho/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Richard Eckart de Castilho # Richard Eckart de Castilho Richard Eckart de Castilho works on software for annotating text, the tools that create the labelled training material statistical natural language processing relies on. Their papers here describe open-source platforms that run in the web browser. These platforms let distributed teams mark up documents, compare their judgments and merge the results, with growing support from machine learning and knowledge resources. The most cited of these papers is [The INCEpTION Platform](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/) (2018). It addresses semantic tasks such as entity linking, fact linking and knowledge base population, which are slow and demand familiarity with the underlying resource. INCEpTION brings three things together in one tool. Several recommenders propose labels, and an advisory form of active learning suggests items to judge while leaving annotators free to edit anything. The tool also manages knowledge bases directly. Finally, its architecture is modular, so external models can run as separate HTTP services. That system builds on the earlier [WebAnno](https://md.research.elamur.ai/free/en/papers/yimam-2013-webanno-flexible-web-based-visually/) (2013). WebAnno paired the brat visualisation front end with a new Java back end. It gave each annotator a private copy for later curation and treated aggregated crowd output as one more annotator, so agreement could be measured in the same way for every label. Read in sequence, the work moves from general distributed annotation toward machine-assisted, knowledge-oriented annotation of meaning. The papers carry affiliations with [Technische Universität Darmstadt](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) over a long span and, more recently, with the [Hessian Center for Artificial Intelligence](https://md.research.elamur.ai/free/en/labs/hessian-center-for-artificial-intelligence/). Co-authors include [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/), [Seid Muhie Yimam](https://md.research.elamur.ai/free/en/authors/seid-muhie-yimam/), [Chris Biemann](https://md.research.elamur.ai/free/en/authors/chris-biemann/), [Jan-Christoph Klie](https://md.research.elamur.ai/free/en/authors/jan-christoph-klie/) and [Michael Bugert](https://md.research.elamur.ai/free/en/authors/michael-bugert/). Richard Eckart de Castilho has 2 papers in our library, in 2013–2018; often with [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/), [Chris Biemann](https://md.research.elamur.ai/free/en/authors/chris-biemann/), [Jan-Christoph Klie](https://md.research.elamur.ai/free/en/authors/jan-christoph-klie/). 2 papers in our library · 2013–2018 [OpenAlex](https://openalex.org/A5091796714) · [ORCID](https://orcid.org/0000-0003-0991-7045) · [Wikidata](https://www.wikidata.org/wiki/Q137037003) · [**h-index 12**](https://openalex.org/authors/A5091796714) · [43 works](https://openalex.org/works?filter=author.id:A5091796714) · [1,160 citations](https://openalex.org/works?filter=author.id:A5091796714&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works in our library](https://md.research.elamur.ai/free/en/authors/richard-eckart-de-castilho/#papers) · [451 citations in our library](https://md.research.elamur.ai/free/en/authors/richard-eckart-de-castilho/cited-by/) · 3 more works in our library · [⭐ Paper Star rank #2493](https://md.research.elamur.ai/free/en/paper-stars/page/25/#star-2493) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Richard+Eckart+de+Castilho) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Richard+Eckart+de+Castilho) · [dblp](https://dblp.org/search?q=Richard+Eckart+de+Castilho) · [ACL Anthology](https://aclanthology.org/search/?q=Richard+Eckart+de+Castilho) ## Affiliations [🎓**Technische Universität Darmstadt** Darmstadt · Germany 2011–2024 · 26 papers](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) · [🔬**Hessian Center for Artificial Intelligence** Darmstadt · Germany 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/labs/hessian-center-for-artificial-intelligence/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed. ## Works by year ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/) · [**2013** 1 paper](https://md.research.elamur.ai/free/en/papers/yimam-2013-webanno-flexible-web-based-visually/) ## Papers The most cited first (OpenAlex and our library). 1. **[The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/)** *(2018 · 422 citations)* INCEpTION is an open-source, web-based annotation platform for semantic annotation tasks such as entity linking, fact linking, knowledge base population and semantic frame annotation. 2. **[WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations](https://md.research.elamur.ai/free/en/papers/yimam-2013-webanno-flexible-web-based-visually/)** *(2013 · 271 citations)* Statistical NLP depends on annotated training data, yet annotation tools have often been built for a single task, tied to proprietary formats, or required local installation. ## Also in our library 3 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) ×2 - [Chris Biemann](https://md.research.elamur.ai/free/en/authors/chris-biemann/) - [Jan-Christoph Klie](https://md.research.elamur.ai/free/en/authors/jan-christoph-klie/) - [Michael Bugert](https://md.research.elamur.ai/free/en/authors/michael-bugert/) - [Seid Muhie Yimam](https://md.research.elamur.ai/free/en/authors/seid-muhie-yimam/) ## Cited by Papers of our library cite their works 451 times (of the 140,884 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/richard-eckart-de-castilho/cited-by/).