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TitleStatusHype
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate StatementsCode1
Document-level Claim Extraction and Decontextualisation for Fact-CheckingCode1
Document-Level Event Argument Extraction by Conditional GenerationCode1
GRIT: Generative Role-filler Transformers for Document-level Event Entity ExtractionCode1
Attention-based Quantum TomographyCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge DistillationCode1
SPECTER: Document-level Representation Learning using Citation-informed TransformersCode1
AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio DescriptionCode1
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in VideoCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
DoubleMix: Simple Interpolation-Based Data Augmentation for Text ClassificationCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
Dual Learning for Semi-Supervised Natural Language UnderstandingCode1
Dynamic Self-Attention : Computing Attention over Words Dynamically for Sentence EmbeddingCode1
EASE: Entity-Aware Contrastive Learning of Sentence EmbeddingCode1
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-EncodersCode1
A Cascade Dual-Decoder Model for Joint Entity and Relation ExtractionCode1
Efficient and Flexible Topic Modeling using Pretrained Embeddings and Bag of SentencesCode1
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum LearningCode1
Efficient Neural Architecture for Text-to-Image SynthesisCode1
Efficient Sentence Embedding via Semantic Subspace AnalysisCode1
A large annotated corpus for learning natural language inferenceCode1
A Large Cross-Modal Video Retrieval Dataset with Reading ComprehensionCode1
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and GenerationCode1
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