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Data Augmentation

3,720 papers

Papers per year

7
339
562
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Papers

NLP+Vis: NLP Meets Visualization EMNLP 2023
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs EMNLP 2023
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis EMNLP 2023
Enhancing Language Model with Unit Test Techniques for Efficient Regular Expression Generation EMNLP 2023
Lattice Path Edit Distance: A Romanization-aware Edit Distance for Extracting Misspelling-Correction Pairs from Japanese Search Query Logs EMNLP 2023
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications EMNLP 2023
Scaling Neural ITN for Numbers and Temporal Expressions in Tamil: Findings for an Agglutinative Low-resource Language EMNLP 2023
Gold Standard Bangla OCR Dataset: An In-Depth Look at Data Preprocessing and Annotation Processes EMNLP 2023
An Integrated Search System for Korea Weather Data EMNLP 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023
Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study EMNLP 2023
BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using Genre Classification EMNLP 2023
Factual Relation Discrimination for Factuality-oriented Abstractive Summarization EMNLP 2023
Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation EMNLP 2023
Test-time Augmentation for Factual Probing EMNLP 2023
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting EMNLP 2023
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis EMNLP 2023
PROTEGE: Prompt-based Diverse Question Generation from Web Articles EMNLP 2023
Prompt-Based Editing for Text Style Transfer EMNLP 2023
GBT: Generative Boosting Training Approach for Paraphrase Identification EMNLP 2023
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval EMNLP 2023
Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data EMNLP 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023
GDA: Grammar-based Data Augmentation for Text Classification using Slot Information EMNLP 2023