entityrl
EntityRL is a software library designed to facilitate the application of reinforcement learning techniques to entity-related tasks in natural language processing. The framework provides modular components that allow researchers and developers to build agents capable of discovering optimal strategies for entity identification, linking, or disambiguation in text streams.
The core architecture of EntityRL consists of a reinforcement learning environment that receives textual input and
EntityRL supports several standard reinforcement learning algorithms, including policy gradients, Q‑learning, and actor‑critic methods. The library
Researchers have utilized EntityRL to improve span detection in named entity recognition, as well as entity