3 papers
cs.CL2026
LEAF-SQL: Level-wise Exploration with Adaptive Fine-graining for Text-to-SQL Skeleton Prediction
Zhao Tan, Xiping Liu, Qing Shu +3
Text-to-SQL translates natural language questions into executable SQL queries, enabling intuitive database access for non-experts. While large language models achieve strong perfor…
cs.CL2024
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
Guanghui Wang, Dexi Liu, Jian-Yun Nie +5
Recent advancements in event argument extraction (EAE) involve incorporating useful auxiliary information into models during training and inference, such as retrieved instances and…
cs.CL2023
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Qizhi Wan, Changxuan Wan, Keli Xiao +3
Document-level event extraction is a long-standing challenging information retrieval problem involving a sequence of sub-tasks: entity extraction, event type judgment, and event ty…