How to tackle an emerging topic? Combining strong and weak labels for Covid news NER.
Aleksander FicekFangyu LiuNigel CollierPublished in: AACL/IJCNLP (2) (2022)
Keyphrases
- news articles
- named entity recognition
- news stories
- maximum entropy
- planning under partial observability
- news items
- named entities
- emerging topics
- training data
- conditional random fields
- data mining
- news topics
- online news
- topic models
- text mining
- natural language processing
- information extraction
- web news
- pairwise
- chinese named entity recognition
- topic tracking
- text summarization
- social media
- multi label
- topic detection
- short texts
- training set
- domain specific