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 51–88 of 88 papers

TitleStatusHype
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
Zero-shot Temporal Relation Extraction with ChatGPT—0
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Annotating Inter-Sentence Temporal Relations in Clinical Notes—0
A Structured Learning Approach to Temporal Relation Extraction—0
Attention Neural Model for Temporal Relation Extraction—0
Beyond Pairwise: Global Zero-shot Temporal Graph Generation—0
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—0
Context-Dependent Semantic Parsing for Temporal Relation Extraction—0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding—0
Cross-Document Temporal Relation Extraction with Temporal Anchoring Events—0
DCT-Centered Temporal Relation Extraction—0
Distinguishing Between Foreground and Background Events in News—0
Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative—0
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain—0
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs—0
Event Temporal Relation Extraction with Bayesian Translational Model—0
Exploiting Partially Annotated Data for Temporal Relation Extraction—0
Exploiting Partially Annotated Data in Temporal Relation Extraction—0
Exploring Text Representations for Generative Temporal Relation Extraction—0
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction—0
Extracting Temporal and Causal Relations between Events—0
Fine-Grained Temporal Relation Extraction—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
Global Inference to Chinese Temporal Relation Extraction—0
Improving Temporal Relation Extraction with Training Instance Augmentation—0
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
Is artificial data useful for biomedical Natural Language Processing algorithms?—0
Joint Constrained Learning for Event-Event Relation Extraction—0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives—0
Distilling Multi-Scale Knowledge for Event Temporal Relation Extraction—0
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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