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Information Extraction

3209 directly classified papers

Papers per year

Papers

BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models ACL 2025
Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic Data ACL 2025
A Conversational Agent Framework for Multimodal Knowledge Retrieval: A Case Study in FHWA InfoHighway Web Portal Queries ACL 2025
Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature ACL 2025
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability Fusion NAACL 2025
Structured Tender Entities Extraction from Complex Tables with Few-short Learning COLING 2025
BuDDIE: A Business Document Dataset for Multi-task Information Extraction COLING 2025
The contribution of LLMs to relation extraction in the economic field COLING 2025
The Financial Document Causality Detection Shared Task (FinCausal 2025) COLING 2025
CLRG@FinCausal2025: Cause-Effect Extraction in Finance Domain COLING 2025
LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis COLING 2025
Automated Clinical Data Extraction with Knowledge Conditioned LLMs COLING 2025
Geo-Spatially Informed Models for Geocoding Unstructured Addresses COLING 2025
Leveraging Machine-Generated Data for Joint Intent Detection and Slot Filling in Bangla: A Resource-Efficient Approach COLING 2025
Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction COLING 2025
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text COLING 2025
CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning COLING 2025
CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction COLING 2025
NCRE: A Benchmark for Document-level Nominal Compound Relation Extraction COLING 2025
Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction COLING 2025
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly COLING 2025
Improving Relation Extraction by Sequence-to-sequence-based Dependency Parsing Pre-training COLING 2025
RoBGuard: Enhancing LLMs to Assess Risk of Bias in Clinical Trial Documents COLING 2025
Looking at the Unseen: Effective Sampling of Non-Related Propositions for Argument Mining COLING 2025
COF: Adaptive Chain of Feedback for Comparative Opinion Quintuple Extraction COLING 2025