Financial documents contain numerous causal inferences and subjective opinions. This book provides an overview of the current state of financial argument mining and financial text generation, and presents our thoughts on the blueprint for NLP in finance in the Agent AI era, with the latest methodologies, concepts, and frameworks for developing, deploying, and evaluating AI agents with capabilities in multi-modal understanding, decision-making, and interaction. The book places a special emphasis on human-centered decision-making and multi-agent cooperation in financial applications.
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