Ontology enrichment for effective fine-grained entity typing
Fine-grained entity typing (FET) is the task of identifying specific entity types at a fine-grained
level for entity mentions based on their contextual information. Conventional methods for …
level for entity mentions based on their contextual information. Conventional methods for …
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models
Massive amount of unstructured text data are generated daily, ranging from news articles to
scientific papers. How to mine structured knowledge from the text data remains a crucial …
scientific papers. How to mine structured knowledge from the text data remains a crucial …
ORAG: Ontology-Guided Retrieval-Augmented Generation for Theme-Specific Entity Typing
Large language models (LLMs) incorporated with retrieval-augmented generation (RAG)
have shown great power in many NLP tasks, including fine-grained entity typing (FET) …
have shown great power in many NLP tasks, including fine-grained entity typing (FET) …