Generation
11,987 papers (2 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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11
94
253
465
735
1,013
1,088
1,540
1,638
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Papers (including subtopics)
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems
EMNLP 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
EMNLP 2021
Trading Off Diversity and Quality in Natural Language Generation
EACL 2021
Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator
EMNLP 2021
Transductive Learning for Unsupervised Text Style Transfer
EMNLP 2021
Transferable Dialogue Systems and User Simulators
ACL 2021
Transfer Learning for Sequence Generation: from Single-source to Multi-source
ACL 2021
Transformer-based Lexically Constrained Headline Generation
EMNLP 2021
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
EMNLP 2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning
EMNLP 2021
TSQA: Tabular Scenario Based Question Answering
AAAI 2021
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
NAACL 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
ACL 2021
Turn-Level User Satisfaction Estimation in E-commerce Customer Service
ACL 2021
TWAG: A Topic-Guided Wikipedia Abstract Generator
ACL 2021
TWEETSUMM - A Dialog Summarization Dataset for Customer Service
EMNLP 2021
Twitter Event Summarization by Exploiting Semantic Terms and Graph Network
AAAI 2021
TWT: Table with Written Text for Controlled Data-to-Text Generation
EMNLP 2021
Types of Out-of-Distribution Texts and How to Detect Them
EMNLP 2021
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2
AAAI 2021
UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model
NAACL 2021
ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5
EMNLP 2021
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings
EMNLP 2021
Understanding by Understanding Not: Modeling Negation in Language Models
NAACL 2021
Unified Pre-training for Program Understanding and Generation
NAACL 2021