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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 88 papers

TitleStatusHype
Event Temporal Relation Extraction with Bayesian Translational Model—0
Exploiting Partially Annotated Data for Temporal Relation Extraction—0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks—0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
RSGT: Relational Structure Guided Temporal Relation Extraction—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
SemEval-2010 Task 13: TempEval-2—0
Spanish TimeBank 1.0—0
Temporal information extraction from clinical text—0
Temporal Reasoning Graph for Activity Recognition—0
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach—0
Temporal Relation Extraction with a Graph-Based Deep Biaffine Attention Model—0
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
TIMERS: Document-level Temporal Relation Extraction—0
Towards Unsupervised Learning of Temporal Relations between Events—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction—0
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers—0
Neural Temporal Relation Extraction—0
Only One Relation Possible? Modeling the Ambiguity in Event Temporal Relation Extraction—0
Open Temporal Relation Extraction for Question Answering—0
Prompting Large Language Models for Clinical Temporal Relation Extraction—0
LLaVA-OneVision: Easy Visual Task TransferCode0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4o (CoT)Text Score59.2—Unverified
2GPT-4oText Score54—Unverified
3Qwen2-VL-72BText Score50.4—Unverified
4LLaVA-OneVision-Qwen2-72BText Score48.4—Unverified
5LLaVA-OneVision-Qwen2-7BText Score41.6—Unverified
6Qwen2-VL-7BText Score40.2—Unverified
7Gemini-1.5-Pro (CoT)Text Score37—Unverified
8VideoLLaMA2-72BText Score36.2—Unverified
9Gemini-1.5-ProText Score35.8—Unverified
10Claude 3.5 SonnetText Score32.8—Unverified