--- title: "Stephen Mayhew — author profile and papers in our library" description: "Stephen Mayhew: 2 papers on Elamur Research (2017–2021) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/stephen-mayhew/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/stephen-mayhew/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Stephen Mayhew # Stephen Mayhew Stephen Mayhew has 2 papers in our library, in 2017–2021, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Chen-Tse Tsai](https://md.research.elamur.ai/free/en/authors/chen-tse-tsai/), [Chester Palen-Michel](https://md.research.elamur.ai/free/en/authors/chester-palen-michel/), [Constantine Lignos](https://md.research.elamur.ai/free/en/authors/constantine-lignos/). 2 papers in our library · 2017–2021 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/stephen-mayhew/#papers) · [🔗 Cited 238 times in our library](https://md.research.elamur.ai/free/en/authors/stephen-mayhew/cited-by/) · [⭐ Paper Stars ranking: #2941](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2941) 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=Stephen+Mayhew) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Stephen+Mayhew) · [dblp](https://dblp.org/search?q=Stephen+Mayhew) · [ACL Anthology](https://aclanthology.org/search/?q=Stephen+Mayhew) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Named entity recognition · 2 works](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/concepts/named-entity-recognition/) ## Works by year ### 2020s [**2021** 1 paper Stephen Mayhew's papers of 2021](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/) ### 2010s [**2017** 1 paper Stephen Mayhew's papers of 2017](https://md.research.elamur.ai/free/en/papers/mayhew-2017-cheap-translation-cross-lingual-named/) ## Papers The most cited first (OpenAlex and our library). 1. **[MasakhaNER: Named Entity Recognition for African Languages](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/)** *(2021 · 429 citations)* African languages are largely missing from NLP resources, and NER in particular has had almost no public, human-annotated benchmarks for them. 2. **[Cheap Translation for Cross-Lingual Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/mayhew-2017-cheap-translation-cross-lingual-named/)** *(2017 · 211 citations)* Most cross-lingual NER methods rely on resources that the majority of languages lack, such as large parallel corpora or a rich Wikipedia. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Chen-Tse Tsai](https://md.research.elamur.ai/free/en/authors/chen-tse-tsai/) - [Chester Palen-Michel](https://md.research.elamur.ai/free/en/authors/chester-palen-michel/) - [Constantine Lignos](https://md.research.elamur.ai/free/en/authors/constantine-lignos/) - [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/) - [Daniel D'souza](https://md.research.elamur.ai/free/en/authors/daniel-d-souza/) - [David Ifeoluwa Adelani](https://md.research.elamur.ai/free/en/authors/david-ifeoluwa-adelani/) - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) - [Happy Buzaaba](https://md.research.elamur.ai/free/en/authors/happy-buzaaba/) - [Israel Abebe Azime](https://md.research.elamur.ai/free/en/authors/israel-abebe-azime/) - [Julia Kreutzer](https://md.research.elamur.ai/free/en/authors/julia-kreutzer/) - [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) - [Shruti Rijhwani](https://md.research.elamur.ai/free/en/authors/shruti-rijhwani/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2021](https://md.research.elamur.ai/free/en/venues/tacl/2021/) ## Cited by Papers of our library cite their works 238 times (of the 141,840 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/stephen-mayhew/cited-by/). Updated 24 October 2026