Morphological Embeddings
Morphological Embeddings is a type of word representation in natural language processing that encodes the internal structure of words by modeling subword units such as morphemes, thereby capturing fine-grained linguistic regularities arising from affixation, inflection, and derivation.
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2.6K
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182
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73
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2017–2026
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi et al. · 2017 · 279 citations · Full text
Language Studies, Computer Science, Computational Linguistics +16
Embedding Methods for Fine Grained Entity Type Classification
Dani Yogatama, Daniel Gillick, Nevena Lazic · 2015 · 118 citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
4 h-index
6 publications
237 citations

Johns Hopkins University
Baltimore, United States
4 h-index
9 publications
247 citations

Bar-Ilan University
Ramat Gan, Israel
3 h-index
6 publications
234 citations
Ludwig-Maximilians-Universität München
Munich, Germany
3 h-index
6 publications
244 citations
National University of Singapore
Singapore, Singapore
3 h-index
7 publications
375 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
506 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
142 citations
Tokyo Institute of Technology
Tokyo, Japan
2 h-index
4 publications
637 citations
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Repository · 6 publications · 241 citations
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2 publications · 37 citations
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1 publications · 11 citations
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Repository · 1 publications · 16 citations
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Repository · 1 publications · 70 citations
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