Relation Classification
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Benchmarks
TACRED
SemEval 2010 Task 8
FewRel
AbstRCT - Neoplasm
CDCP
DRI Corpus
Discovery
MATRES
Most implemented
Matching the Blanks: Distributional Similarity for Relation Learning
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
SpanBERT: Improving Pre-training by Representing and Predicting Spans
Enriching Pre-trained Language Model with Entity Information for Relation Classification
Papers
CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives
Understanding the temporal progression of symptoms in clinical narratives is critical for disease monitoring, safety surveillance, and causality assessment. Clinical narratives, however, rarely provide explicit temporal …
Relation ClassificationSEER: A Self-Grounded Evidence Interface for Controlled Spatial Relation Classification
Spatial relation questions require a model to identify the queried subject and object before comparing their layout. Yet a VLM can recognize both entities and still answer from the wrong instance or an ambiguous global v…
Relation ClassificationReversing Arrows in Large Language Models
Large language models (LLMs) have achieved strong performance on text-to-knowledge graph generation and related tasks. Nevertheless, it is still unclear whether they accurately model the direction-dependent semantics of …
Relation ClassificationGraph GenerationLightweight Person-Place Relation Extraction from Historical Newspapers with Dependency Graphs and Proximity Features
The HIPE-2026 shared task introduces person-place relation extraction from multilingual historical newspapers as a new evaluation track, classifying the at and isAt relations between pre-annotated person and location men…
Relation ClassificationRelation ExtractionCross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian
Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross-lingual RE for Romanian by combining automatic dataset translation wi…
Relation ClassificationRelation ExtractionBCL: Bayesian In-Context Learning Framework for Information Extraction
Existing information extraction (IE) tasks increasingly adopt in-context learning (ICL) with large language models. However, current approaches either show inconsistent performance across model scales or lack systematic …
Relation ClassificationInformation Extraction