Research on Entity Relation Extraction Based on BiLSTM-CRF Classical Probability Word Problems.
Qingtang LiuXiangcheng JiaWeiqin YangFengjiao TuLinjing WuPublished in: ICETC (2021)
Keyphrases
- relation extraction
- word problems
- named entities
- information extraction
- named entity recognition
- entity extraction
- coreference resolution
- named entity recognizer
- conditional random fields
- automatic extraction
- semantic role labeling
- dependency trees
- similar problems
- semantic relations
- domain specific
- natural language processing
- text mining
- question answering
- information retrieval
- machine learning
- broad coverage
- co occurrence
- pairwise
- natural language
- tree kernels
- grade students
- graphical models
- hidden markov models
- structured data
- probabilistic model
- entity ranking
- unsupervised learning
- feature selection
- semantic features
- high school