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 5160 of 88 papers

TitleStatusHype
Effective Distant Supervision for Temporal Relation ExtractionCode1
Joint Constrained Learning for Event-Event Relation Extraction0
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation ExtractionCode0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction0
Deep Structured Neural Network for Event Temporal Relation ExtractionCode0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction0
An Improved Neural Baseline for Temporal Relation Extraction0
Temporal Reasoning Graph for Activity Recognition0
Is artificial data useful for biomedical Natural Language Processing algorithms?0
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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