Papers with supervised named entity recognition
DaNE: A Named Entity Resource for Danish (2020.lrec-1)
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Rasmus Hvingelby, Amalie Brogaard Pauli, Maria Barrett, Christina Rosted, Lasse Malm Lidegaard, Anders Søgaard
| Challenge: | a named entity annotation for the Danish Universal Dependencies treebank is the largest publicly available named entity gold annotation. |
| Approach: | They propose a named entity annotation for the Danish Universal Dependencies treebank using the CoNLL-2003 annotation scheme DaNE. |
| Outcome: | The proposed annotations improve Danish named entity recognition over a recent cross-lingual approach and over norwegian training set. |
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition (2022.lrec-1)
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| Challenge: | Named entity recognition (NER) is a type of annotation that classifies text into predefined classes such as person, location, organization etc. |
| Approach: | They propose to use a named entity annotation dataset for low resource Assamese language with a baseline NER model. |
| Outcome: | The proposed dataset is likely to be significant resource for deep neural based Assamese language processing. |