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 7688 of 88 papers

TitleStatusHype
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction0
Extracting Temporal and Causal Relations between Events0
Fine-Grained Temporal Relation Extraction0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks0
Global Inference to Chinese Temporal Relation Extraction0
Improving Temporal Relation Extraction with Training Instance Augmentation0
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text0
Is artificial data useful for biomedical Natural Language Processing algorithms?0
Joint Constrained Learning for Event-Event Relation Extraction0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives0
Distilling Multi-Scale Knowledge for Event 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