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TitleStatusHype
Debiasing Pre-trained Contextualised EmbeddingsCode1
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language ModelsCode1
Debiased Contrastive Learning of Unsupervised Sentence RepresentationsCode1
NewsClaims: A New Benchmark for Claim Detection from News with Attribute KnowledgeCode1
A large-scale study of the effects of word frequency and predictability in naturalistic readingCode1
NLQuAD: A Non-Factoid Long Question Answering Data SetCode1
Non-autoregressive Text Editing with Copy-aware Latent AlignmentsCode1
Non-Autoregressive Text Generation with Pre-trained Language ModelsCode1
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence EmbeddingsCode1
Discourse-Aware Unsupervised Summarization for Long Scientific DocumentsCode1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionCode1
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and GermanCode1
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer LearningCode1
Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based LearningCode1
Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic DiacritizationCode1
DeepEventMine: end-to-end neural nested event extraction from biomedical textsCode1
Style Transformer: Unpaired Text Style Transfer without Disentangled Latent RepresentationCode1
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document SummarizationCode1
Deep Smart Contract Intent DetectionCode1
On Finding the K-best Non-projective Dependency TreesCode1
DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment CorpusCode1
On Losses for Modern Language ModelsCode1
Deep Representational Re-tuning using Contrastive TensionCode1
On the Effectiveness of Sentence Encoding for Intent Detection Meta-LearningCode1
DocAMR: Multi-Sentence AMR Representation and EvaluationCode1
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