--- title: "Marc Moens — author profile and papers" description: "Marc Moens: 2 papers on Elamur Research (1999–2002), h-index 19 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/marc-moens/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marc-moens/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Marc Moens # Marc Moens Marc Moens works in natural language processing, with papers here on [summarization](https://md.research.elamur.ai/free/en/topics/summarization/) and [named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/). Both lines of work look at how a system can find the parts of a text that matter. One asks which sentences of a long article carry its contribution. The other asks which strings name people, places and organisations. The methods combine annotated corpora, hand-built rules and statistical models, and the experiments test which resources a task really needs. The most cited paper here is [Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/), written with [Simone Teufel](https://md.research.elamur.ai/free/en/authors/simone-teufel/). It argues that plain sentence extraction fails on research papers, because a lifted sentence may describe the authors' own method or a rival one they reject. The paper therefore tags each selected sentence with its rhetorical role. It also builds a human-annotated benchmark from computational linguistics conference papers and checks how far annotators agree. The second, [Named Entity Recognition without Gazetteers](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/), uses the MUC-7 newswire data to test how much a recogniser depends on large name lists. It pairs rule-based grammars with maximum entropy models and draws on both the form of a name and its surrounding context. It finds that small lists of well-known names, or lists gathered from a modest amount of in-domain text, serve almost as well as large ones. The papers here run from 1999 to 2002. They move from extracting entities in news text toward the discourse structure of scientific writing. Both are bylined from the [University of Edinburgh](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/), where the author's affiliation spans many years. Co-authors include Simone Teufel and [Claire Grover](https://md.research.elamur.ai/free/en/authors/claire-grover/). Marc Moens has 2 papers in our library, in 1999–2002, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Claire Grover](https://md.research.elamur.ai/free/en/authors/claire-grover/), [Simone Teufel](https://md.research.elamur.ai/free/en/authors/simone-teufel/). 2 papers in our library · 1999–2002 [OpenAlex](https://openalex.org/A5039380797) · [**h-index 19**](https://openalex.org/authors/A5039380797) · [33 works](https://openalex.org/works?filter=author.id:A5039380797) · [3,405 citations](https://openalex.org/works?filter=author.id:A5039380797&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/marc-moens/#papers) · [🔗 284 citations in our library](https://md.research.elamur.ai/free/en/authors/marc-moens/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Star rank #1671](https://md.research.elamur.ai/free/en/paper-stars/page/17/#star-1671) 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=Marc+Moens) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marc+Moens) · [dblp](https://dblp.org/search?q=Marc+Moens) · [ACL Anthology](https://aclanthology.org/search/?q=Marc+Moens) ## Affiliations [🎓**University of Edinburgh** Edinburgh · United Kingdom 1987–2005 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2000s [**2002** 1 paper](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/) ### 1990s [**1999** 1 paper](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/) ## Papers The most cited first (OpenAlex and our library). 1. **[Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status](https://md.research.elamur.ai/free/en/papers/teufel-2002-summarizing-scientific-articles-experiments-relevance/)** *(2002 · 775 citations)* Standard sentence extraction works poorly for scientific papers. Their key contribution is often buried late in the text, and summaries must shrink a long article to a tiny fraction of its length, so extracted sentences lose their discourse context. A single sentence could state the paper's own solution or describe a… 2. **[Named Entity Recognition without Gazetteers](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/)** *(1999 · 502 citations)* The paper asks how much a Named Entity recognition system really depends on large gazetteers, which are often described as a costly bottleneck. ## Also in our library 1 more work of theirs is in our library without a page here yet; it will appear as we publish them. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Claire Grover](https://md.research.elamur.ai/free/en/authors/claire-grover/) - [Simone Teufel](https://md.research.elamur.ai/free/en/authors/simone-teufel/) ## Cited by Papers of our library cite their works 284 times (of the 140,884 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/marc-moens/cited-by/).