GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets.
Wolfgang OttoMatthäus ZlochLu GanSaurav KarmakarStefan DietzePublished in: CoRR (2023)
Keyphrases
- entity extraction
- machine learning models
- information extraction
- relation extraction
- named entity recognition
- natural language processing
- named entities
- spam filtering
- text mining
- machine learning algorithms
- text processing
- machine learning approaches
- machine learning
- maximum entropy
- entity ranking
- learning models
- conditional random fields
- semantic relations
- domain specific
- predictive model
- information retrieval
- question answering
- automatic extraction
- semantic features
- natural language
- learning algorithm
- supervised learning
- classification accuracy
- coreference resolution