Прототиптік желілер
Related Papers
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
AbstractThis paper presents a multi-level matching and aggregation network (MLMAN) for few-shot relation classification. Previous studies on this topic adopt prototypical networks, which calculate the embedding vector of a query …...
Continual Few-Shot Learning for Text Classification
AbstractNatural Language Processing (NLP) is increasingly relying on general end-to-end systems that need to handle many different linguistic phenomena and nuances. For example, a Natural Language Inference (NLI) system has …...
PROTAUGMENT: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning
AbstractRecent research considers few-shot intent detection as a meta-learning problem: the model is learning to learn from a consecutive set of small tasks named episodes. In this work, we propose …...
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
AbstractFew-shot named entity recognition (NER) enables us to build a NER system for a new domain using very few labeled examples. However, existing prototypical networks for this task suffer from …...
Memorisation versus Generalisation in Pre-trained Language Models
AbstractState-of-the-art pre-trained language models have been shown to memorise facts and perform well with limited amounts of training data. To gain a better understanding of how these models learn, we …...
On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning
AbstractRecent studies on few-shot intent detection have attempted to formulate the task as a meta-learning problem, where a meta-learning model is trained with a certain capability to quickly adapt to …...
This Patient Looks Like That Patient: Prototypical Networks for Interpretable Diagnosis Prediction from Clinical Text
AbstractThe use of deep neural models for diagnosis prediction from clinical text has shown promising results. However, in clinical practice such models must not only be accurate, but provide doctors …...