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 2130 of 88 papers

TitleStatusHype
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News ArticlesCode0
End-to-End Temporal Relation Extraction in the Clinical DomainCode0
Structured Learning for Temporal Relation Extraction from Clinical RecordsCode0
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation ExtractionCode0
LLaVA-OneVision: Easy Visual Task TransferCode0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputCode0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistencyCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Deep Structured Neural Network for Event Temporal Relation ExtractionCode0
Show:102550
← PrevPage 3 of 9Next →

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