The hallucinations' problem of large language models poses challenges in specific fields. To mitigate the hallucinations in large language models, researchers often seek to incorporate domain-specific knowledge
Classification algorithms typically adopt one of two learning strategies: lazy learning or eager learning. These approaches differ fundamentally in how and when the model is built, affecting the algorithm’s flexibility, efficiency, and use cases. While both aim to classify data, they do so with c...
A systematic approach to human error must involve the classification of errors and must, therefore, be based on appropriate models, either explicitly or implicitly. The classification is not necessarily along a single dimension. Most workers in the field have found it necessary to classify in terms...
The purpose of this repository is to explore text classification methods in NLP with deep learning. Update: Customize an NLP API in three minutes, for free:NLP API Demo Language Understanding Evaluation benchmark for Chinese(CLUE benchmark): run 10 tasks & 9 baselines with one line of code,...
Chapter 4. Text Classification A common task in natural language processing is classification. The goal of the task is to train a model to assign a label or class to … - Selection from Hands-On Large Language Models [Book]
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This repository contains resources for Natural Language Processing (NLP) with a focus on the task of Text Classification. The content is mainly from paper 《A Survey on Text Classification: From Shallow to Deep Learning》(该repository主要总结自然语言处理(NLP)中文本分类任务的资料。内容主要来自文本分...
Poor discrimination was also reflected in the speakers’ production patterns. Therefore, by training machine learning algorithms with L1 acoustic features and feeding them with the same features of a nonnative language, researchers can estimate perceptual and potentially production patterns of nonnative ...
lies in the 'encoding_decoding.py' module, designed to be plug-and-play. Within this module, 'unbiased_encoding' and 'weighted_adjacent_decoding' functions are respectively employed to eliminate quantization errors during the training and decoding phases in deep learning-based sound source ...
Chronic venous insufficiency (CVI) affect a large population, and it cannot heal without doctors’ interventions. However, many patients do not get the medical advisory service in time. At the same time, the doctors also need an assistant tool to classif