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Temporal Relation Extraction
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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".
논문
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EventPlus: A Temporal Event Understanding Pipeline
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
Effective Distant Supervision for Temporal Relation Extraction
Joint Constrained Learning for Event-Event Relation Extraction
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
Robustly Pre-trained Neural Model for Direct Temporal Relation Extraction
Deep Structured Neural Network for Event Temporal Relation Extraction
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
An Improved Neural Baseline for Temporal Relation Extraction
Temporal Reasoning Graph for Activity Recognition
Is artificial data useful for biomedical Natural Language Processing algorithms?
A Structured Learning Approach to Temporal Relation Extraction
Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding
Fine-Grained Temporal Relation Extraction
Word-Level Loss Extensions for Neural Temporal Relation Classification
Temporal Event Knowledge Acquisition via Identifying Narratives
Exploiting Partially Annotated Data for Temporal Relation Extraction
Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events
Extracting Temporal and Causal Relations between Events
Combining Temporal Information and Topic Modeling for Cross-Document Event Ordering
Towards Unsupervised Learning of Temporal Relations between Events
TempEval-3: Evaluating Events, Time Expressions, and Temporal Relations
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