Maud Ehrmann
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Conservation top 10%
Papers in ⓘ
-
- Natural Language Processing Techniques 18
- Semantic Web and Ontologies 13
- Topic Modeling 13
- Advanced Text Analysis Techniques 3
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- Digital Humanities and Scholarship 5
- Co-authors
- Ralf Steinberger (7 shared papers)Marco Turchi (3 shared papers)Matteo Romanello (5 shared papers)Guillaume Jacquet (5 shared papers)Josef Steinberger (2 shared papers)Mijail Kabadjov (2 shared papers)Hristo Tanev (2 shared papers)Roberto Navigli (2 shared papers)
- Journals
- Language Resources and Evaluation (5 papers)Frontiers in Big Data (1 paper)Decision Support Systems (1 paper)ACM Computing Surveys (1 paper)Semantic Web (1 paper)
- Partner nations
- SwitzerlandItalyFrance
In The Last Decade
Maud Ehrmann
26 papers receiving 266 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 253
- Conservation 12
- Space and Planetary Science 4
- Information Systems 49
- Management Science and Operations Research 27
Countries citing papers authored by Maud Ehrmann
This map shows the geographic impact of Maud Ehrmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maud Ehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Ehrmann more than expected).
Fields of papers citing papers by Maud Ehrmann
This network shows the impact of papers produced by Maud Ehrmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maud Ehrmann. The network helps show where Maud Ehrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Maud Ehrmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | Representing Multilingual Data as Linked Data: the Case of BabelNet 2.0 | 2014 | 42 |
| 3 | 2023 | 37 | |
| 4 | Building a Multilingual Named Entity-Annotated Corpus Using Annotation Projection | 2011 | 34 |
| 5 | 2021 | 15 | |
| 6 | Diachronic Evaluation of NER Systems on Old Newspapers | 2016 | 14 |
| 7 | 2016 | 14 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 11 | |
| 10 | On Named Entity Recognition in Targeted Twitter Streams in Polish. | 2013 | 8 |
| 11 | 2007 | 8 | |
| 12 | 2020 | 7 | |
| 13 | Highly Multilingual Coreference Resolution Exploiting a Mature Entity Repository | 2011 | 4 |
| 14 | A Multilingual Semantic Network as Linked Data: lemon-BabelNet | 2014 | 3 |
| 15 | 2009 | 3 | |
| 16 | Clustering of Multi-Word Named Entity variants: Multilingual Evaluation | 2014 | 2 |
| 17 | Media monitoring and information extraction for the highly inflected agglutinative language Hungarian | 2014 | 2 |
| 18 | The impresso system architecture in a nutshell | 2020 | 2 |
| 19 | Building Multilingual Named Entity Annotated Corpora Exploiting Parallel Corpora | 2010 | 2 |
| 20 | 2011 | 2 |
About Maud Ehrmann
Maud Ehrmann is a scholar working on Artificial Intelligence, Literature and Literary Theory, Molecular Biology, Information Systems and Conservation, having authored 30 papers that have together received 311 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Semantic Web and Ontologies (13 papers), Topic Modeling (13 papers), Digital Humanities and Scholarship (5 papers), Biomedical Text Mining and Ontologies (4 papers), Advanced Text Analysis Techniques (3 papers), Digital and Traditional Archives Management (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (253 citations), Conservation (12 citations), Space and Planetary Science (4 citations), Information Systems (49 citations) and Management Science and Operations Research (27 citations). Maud Ehrmann has collaborated with scholars based in Switzerland, Italy and France. Frequent co-authors include Ralf Steinberger, Marco Turchi, Matteo Romanello, Guillaume Jacquet, Josef Steinberger, Mijail Kabadjov, Hristo Tanev, Roberto Navigli, Ali Hürriyetoğlu and Vanni Zavarella. Their work appears in journals such as Language Resources and Evaluation, Frontiers in Big Data, Decision Support Systems, ACM Computing Surveys and Semantic Web.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.