The State of the Art in Information Extraction: From Pipelines to Unified Paradigms
Information Extraction (IE) is a cornerstone of modern Natural Language Processing (NLP), focused on automatically extracting structured information from unstructured or semi-structured text. Its goal is to transform free-form text into a machine-readable format, such as a database or knowledge graph, enabling applications from sentiment analysis and question answering to semantic search and bioinformatics. The field has seen a dramatic evolution, moving from rule-based systems to sophisticated neural architectures, with Large Language Models (LLMs) now redefining the cutting edge.
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