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 110 of 88 papers

TitleStatusHype
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach0
Beyond Pairwise: Global Zero-shot Temporal Graph Generation0
Prompting Large Language Models for Clinical Temporal Relation Extraction0
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionCode11
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction0
LLaVA-OneVision: Easy Visual Task TransferCode0
MiniCPM-V: A GPT-4V Level MLLM on Your PhoneCode12
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputCode0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems0
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistencyCode0
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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