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

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Showing 51–88 of 88 papers

TitleStatusHype
Distinguishing Between Foreground and Background Events in News—0
Joint Constrained Learning for Event-Event Relation Extraction—0
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 Extraction—0
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction—0
Deep Structured Neural Network for Event Temporal Relation ExtractionCode0
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction—0
An Improved Neural Baseline for Temporal Relation Extraction—0
Temporal Reasoning Graph for Activity Recognition—0
Is artificial data useful for biomedical Natural Language Processing algorithms?—0
A Structured Learning Approach to Temporal Relation Extraction—0
A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction—0
Attention Neural Model for Temporal Relation Extraction—0
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding—0
Fine-Grained Temporal Relation Extraction—0
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction—0
Investigating the Challenges of Temporal Relation Extraction from Clinical Text—0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
Exploiting Partially Annotated Data in Temporal Relation Extraction—0
Exploiting Partially Annotated Data for Temporal Relation Extraction—0
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource—0
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks—0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers—0
Structured Learning for Temporal Relation Extraction from Clinical RecordsCode0
Neural Temporal Relation Extraction—0
Temporal information extraction from clinical text—0
CATENA: CAusal and TEmporal relation extraction from NAtural language textsCode0
Global Inference to Chinese Temporal Relation Extraction—0
Improving Temporal Relation Extraction with Training Instance Augmentation—0
Extracting Temporal and Causal Relations between Events—0
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering—0
Annotating Inter-Sentence Temporal Relations in Clinical Notes—0
Towards Unsupervised Learning of Temporal Relations between Events—0
Spanish TimeBank 1.0—0
TempEval-3: Evaluating Events, Time Expressions, and Temporal RelationsCode0
SemEval-2010 Task 13: TempEval-2—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