Multilingual Information Extraction
Multilingual Information Extraction is a computational framework that enables the automatic identification and structuring of semantic entities, relations, and events from unstructured text across multiple languages, distinguishing itself from monolingual counterparts through explicit modeling of cross-lingual linguistic variations and alignment.
280
Publications
16.4K
Citations
893
Authors
318
Institutions
Publications per year
2017–2026
92
280
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
Jens Lehmann, Robert Isele, Max Jakob et al. · Semantic Web · 2015 · 3.2K citations · Full text
Improving efficiency and accuracy in multilingual entity extraction
Joachim Daiber, Max Jakob, Chris Hokamp et al. · 2013 · 514 citations · Full text
Learning multilingual named entity recognition from Wikipedia
Joel Nothman, Nicky Ringland, Will Radford et al. · Artificial Intelligence · 2012 · 366 citations · Full text
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318
Carnegie Mellon University
Pittsburgh, United States
7 h-index
15 publications
455 citations

Sapienza University of Rome
Rome, Italy
7 h-index
12 publications
3.6K citations
University of Geneva
Geneva, Switzerland
5 h-index
11 publications
376 citations

University of North Texas
Denton, United States
4 h-index
7 publications
1.1K citations

Nara Institute of Science and Technology
Ikoma, Japan
4 h-index
5 publications
173 citations

La Rochelle Université
La Rochelle, France
4 h-index
11 publications
296 citations
Heidelberg University
Heidelberg, Germany
4 h-index
7 publications
718 citations
Rensselaer Polytechnic Institute
Troy, United States
4 h-index
13 publications
1.2K citations
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10 publications · 499 citations
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Repository · 7 publications · 134 citations
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AIM · 4 publications · 128 citations
4
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Repository · 4 publications · 402 citations
4
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4 publications · 2K citations
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