SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models.
Changyu HouJun WangYixuan QiaoPeng JiangPeng GaoGuotong XieQizhi LinXiaopeng WangXiandi JiangBenqi WangQifeng XiaoPublished in: CoRR (2022)
Keyphrases
- language model
- named entities
- pre trained
- language modeling
- named entity recognition
- information extraction
- information retrieval
- document retrieval
- n gram
- question answering
- retrieval model
- text mining
- co occurrence
- artificial intelligence
- probabilistic model
- speech recognition
- query expansion
- natural language processing
- test collection
- training data
- query terms
- word sense disambiguation
- cross lingual
- training examples
- unsupervised learning
- machine learning
- data sets
- pseudo relevance feedback
- control signals
- relevant documents
- knowledge representation
- relevance model
- semi supervised learning
- multi modal