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

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Showing 61–70 of 88 papers

TitleStatusHype
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach—0
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
TIMERS: Document-level Temporal Relation Extraction—0
Towards Unsupervised Learning of Temporal Relations between Events—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction—0
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers—0
Neural Temporal Relation Extraction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o (CoT)Text Score59.2—Unverified
2GPT-4oText Score54—Unverified
3Qwen2-VL-72BText Score50.4—Unverified
4LLaVA-OneVision-Qwen2-72BText Score48.4—Unverified
5LLaVA-OneVision-Qwen2-7BText Score41.6—Unverified
6Qwen2-VL-7BText Score40.2—Unverified
7Gemini-1.5-Pro (CoT)Text Score37—Unverified
8VideoLLaMA2-72BText Score36.2—Unverified
9Gemini-1.5-ProText Score35.8—Unverified
10Claude 3.5 SonnetText Score32.8—Unverified