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 7180 of 88 papers

TitleStatusHype
Open Temporal Relation Extraction for Question Answering0
Prompting Large Language Models for Clinical Temporal Relation Extraction0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction0
RSGT: Relational Structure Guided Temporal Relation Extraction0
LLaVA-OneVision: Easy Visual Task TransferCode0
More than Classification: A Unified Framework for Event Temporal Relation ExtractionCode0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
End-to-End Temporal Relation Extraction in the Clinical DomainCode0
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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