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Found 5 papers, 3 papers with code
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task
In the domain of natural language augmentation, the eligibility of generated samples remains not well understood.
IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task On the Shoulders of Medical Agents
In natural language processing applied to the clinical domain, utilizing large language models has emerged as a promising avenue for error detection and correction on clinical notes, a knowledge-intensive task for which annotated data is scarce.
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Pruned data selection with static methods is based on a score calculated for each training example prior to finetuning, which involves important computational overhead.
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers
Our pipeline mines intent-span candidates with an extractive Question-Answering Electra model and leverages sentence embeddings to apply a low-level density clustering followed by a top-level hierarchical clustering.
BET: A Backtranslation Approach for Easy Data Augmentation in Transformer-based Paraphrase Identification Context
We call this approach BET by which we analyze the backtranslation data augmentation on the transformer-based architectures.
