HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data.
Diego EstevesJosé MarcelinoPiyush ChawlaAsja FischerJens LehmannPublished in: IDA (2021)
Keyphrases
- named entity recognition
- noisy data
- information extraction
- named entities
- natural language processing
- maximum entropy
- text summarization
- conditional random fields
- semi supervised
- annotated corpus
- classifier ensemble
- relation extraction
- sequence labeling
- proper names
- artificial intelligence
- co occurrence
- natural language
- high dimensionality
- domain specific
- input image
- nearest neighbor
- object recognition