Constituency Parse Tree

Constituency parse trees represent sentence structure as hierarchical groupings of phrases, a fundamental concept in linguistics and natural language processing. Current research focuses on inducing these trees from large language models (LLMs), often using transformer architectures and algorithms like the CKY algorithm, and developing improved evaluation metrics like STRUCT-IOU to handle inconsistencies between predicted and gold-standard trees. This work aims to better understand how LLMs and humans process language, leading to more accurate and robust NLP applications and providing insights into cognitive processes.