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Deep Learning
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Transformers
9,294 papers
Papers per year
2011: 1
2014: 2
2015: 6
2016: 17
2017: 67
2018: 156
2019: 404
2020: 769
2021: 1217
2022: 1446
2023: 1628
2024: 1574
2025: 1647
2026: 360
Papers
Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa
EMNLP 2021
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning
EMNLP 2021
Recurrent Attention for the Transformer
EMNLP 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
EMNLP 2021
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone?
EMNLP 2021
Emotion Classification in German Plays with Transformer-based Language Models Pretrained on Historical and Contemporary Language
EMNLP 2021
Period Classification in Chinese Historical Texts
EMNLP 2021
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora
EMNLP 2021
VisualSem: a high-quality knowledge graph for vision and language
EMNLP 2021
Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models
EMNLP 2021
Sentence-level Planning for Especially Abstractive Summarization
EMNLP 2021
Template-aware Attention Model for Earnings Call Report Generation
EMNLP 2021
Multi-granular Legal Topic Classification on Greek Legislation
EMNLP 2021
Named Entity Recognition in Historic Legal Text: A Transformer and State Machine Ensemble Method
EMNLP 2021
Effectively Leveraging BERT for Legal Document Classification
EMNLP 2021
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
EMNLP 2021
Investigating Pretrained Language Models for Graph-to-Text Generation
EMNLP 2021
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models
EMNLP 2021
Towards Code-Mixed Hinglish Dialogue Generation
EMNLP 2021
Limitations of Knowledge Distillation for Zero-shot Transfer Learning
EMNLP 2021
Memory-efficient Transformers via Top-k Attention
EMNLP 2021
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking
EMNLP 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis
EMNLP 2021
Hyperparameter Power Impact in Transformer Language Model Training
EMNLP 2021
On the Role of Corpus Ordering in Language Modeling
EMNLP 2021
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