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: EMNLP (Findings) (2023)
Keyphrases
- entity extraction
- machine learning models
- information extraction
- relation extraction
- named entity recognition
- natural language processing
- named entities
- machine learning algorithms
- text processing
- text mining
- spam filtering
- machine learning approaches
- machine learning
- entity ranking
- maximum entropy
- question answering
- automatic extraction
- knowledge representation
- coreference resolution
- natural language
- information retrieval
- wordnet
- conditional random fields
- semi supervised
- bayesian networks
- noun phrases
- artificial intelligence
- text classification
- domain specific
- association rules
- learning algorithm