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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39803
Total Papers
26069
No Code
1086
Twilight
12648
Has Code
31.8%
Survival Rate
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Improving Chinese Named Entity Recognition by Search Engine Augmentation
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Beyond Model Interpretability: On the Faithfulness and Adversarial Robustness of Contrastive Textual Explanations
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RedApt: An Adaptor for wav2vec 2 Encoding \\ Faster and Smaller Speech Translation without Quality Compromise
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SUMBot: Summarizing Context in Open-Domain Dialogue Systems
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Probing Commonsense Knowledge in Pre-trained Language Models with Sense-level Precision and Expanded Vocabulary
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Entity Disambiguation with Entity Definitions
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Instance Regularization for Discriminative Language Model Pre-training
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Artificial Intelligence and Natural Language Processing and Understanding in Space: A Methodological Framework and Four ESA Case Studies
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Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering
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Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity
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The boundaries of meaning: a case study in neural machine translation
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Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
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A Benchmark for Understanding and Generating Dialogue between Characters in Stories
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PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification data for Learning Enhanced generation
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Linguistic Elements of Engaging Customer Service Discourse on Social Media
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STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
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Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection
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End-to-End Automatic Speech Recognition model for the Sudanese Dialect
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How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
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Semantically-informed Hierarchical Event Modeling
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Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
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Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models
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