GerPS-NER: A Dataset for Named Entity Recognition to Support Public Service Process Creation in Germany.
Leila FeddoulSarah T. BachingerClara LachenmaierSebastian ApelPirmin KargNorman KlewerDenys ForshaytRobin ErdMarianne MauchPublished in: SemTech4STLD@ESWC (2024)
Keyphrases
- named entity recognition
- named entities
- information extraction
- natural language processing
- text summarization
- maximum entropy
- conditional random fields
- sequence labeling
- semi supervised
- public services
- relation extraction
- proper names
- annotated corpus
- unsupervised learning
- chinese named entity recognition
- co occurrence
- artificial intelligence
- life cycle
- prior knowledge
- learning environment
- machine learning