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
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives0
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers0
Temporal information extraction from clinical text0
Neural Temporal Relation Extraction0
Structured Learning for Temporal Relation Extraction from Clinical RecordsCode0
Global Inference to Chinese Temporal Relation Extraction0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Show:102550
← PrevPage 8 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