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 4150 of 88 papers

TitleStatusHype
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text UnderstandingCode0
Extracting Event Temporal Relations via Hyperbolic GeometryCode1
TIMERS: Document-level Temporal Relation Extraction0
Open Temporal Relation Extraction for Question Answering0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain0
Extracting Temporal Event Relation with Syntax-guided Graph TransformerCode0
Learning Transferable Visual Models From Natural Language SupervisionCode2
EventPlus: A Temporal Event Understanding PipelineCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Distinguishing Between Foreground and Background Events in News0
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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