SOTAVerified

Temporal Relation Extraction

Temporal relation extraction systems aim to identify and classify the temporal relation between a pair of entities provided in a text. For instance, in the sentence "Bob sent a message to Alice while she was leaving her birthday party." one can infer that the actions "sent" and "leaving" entails a temporal relation that can be described as "simultaneous".

Papers

Showing 1120 of 88 papers

TitleStatusHype
Learning Transferable Visual Models From Natural Language SupervisionCode2
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Effective Distant Supervision for Temporal Relation ExtractionCode1
Selecting Optimal Context Sentences for Event-Event Relation ExtractionCode1
tieval: An Evaluation Framework for Temporal Information Extraction SystemsCode1
Extracting Event Temporal Relations via Hyperbolic GeometryCode1
EventPlus: A Temporal Event Understanding PipelineCode1
Utilizing Relative Event Time to Enhance Event-Event Temporal Relation ExtractionCode1
An Improved Neural Baseline for Temporal Relation Extraction0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o (CoT)Text Score59.2Unverified
2GPT-4oText Score54Unverified
3Qwen2-VL-72BText Score50.4Unverified
4LLaVA-OneVision-Qwen2-72BText Score48.4Unverified
5LLaVA-OneVision-Qwen2-7BText Score41.6Unverified
6Qwen2-VL-7BText Score40.2Unverified
7Gemini-1.5-Pro (CoT)Text Score37Unverified
8VideoLLaMA2-72BText Score36.2Unverified
9Gemini-1.5-ProText Score35.8Unverified
10Claude 3.5 SonnetText Score32.8Unverified