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 6170 of 88 papers

TitleStatusHype
A Structured Learning Approach to Temporal Relation Extraction0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction0
Attention Neural Model for Temporal Relation Extraction0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding0
Fine-Grained Temporal Relation Extraction0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
Exploiting Partially Annotated Data in Temporal Relation Extraction0
Exploiting Partially Annotated Data for Temporal Relation Extraction0
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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