Li Dakang1 minute ago 1. The purpose of this library is to explore methods for NLP text classification using deep learning. 2. It has various benchmark models for text classification. 3. It also supports multi-label classification, where multiple labels are associated with sentences or documents. Although many of these models are quite simple and may … Read more
This article is reprinted with authorization from the WeChat public account “Robot Circle” (WeChat ID: ROBO_AI) The length of this article is 4473 words, and it is recommended to read it in 10 minutes This article introduces a library of NLP text classification deep learning methods and its 12 models. The purpose of this library … Read more
Hierarchical Attention-based Framework Introduction Hierarchical Text Classification (HTC) refers to a given hierarchical label system (typically a tree structure or directed acyclic graph structure) that predicts the label path of the text (the parent node labels contain the child node labels along the path). Generally, there is at least one label at each level, making … Read more
Paper Introduction “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors https://aclanthology.org/2023.findings-acl.426/ This paper introduces a new method for text classification, providing a non-parametric alternative to Deep Neural Networks (DNNs). Although DNNs are widely used due to their high accuracy, they require a large amount of labeled data and millions of parameters, making their computational … Read more
A few days ago, the ACL 2023 awards were announced, attracting significant attention. Among the many papers included, one titled “Low-Resource Text Classification: A Parameter-Free Classification Method with Compressors” has started to generate much discussion. This paper was jointly completed by the University of Waterloo and AFAIK, but it is neither an award-winning paper nor … Read more
Click the “Expert Knowledge” above to follow and get professional AI knowledge! ▌Introduction The traditional Vector Space Model (VSM) assumes that feature items are independent of each other, which does not align with reality. To address this issue, a distributed representation of text (e.g., in the form of word embeddings) can be employed, representing text … Read more
Article Author: Zhang Junlin, Senior Algorithm Expert at Weibo AI Lab Content Source: Deep Learning Frontier Notes @ Zhihu Column Community Production: DataFun Note: You are welcome to leave messages in the background to submit to DataFun. BERT has brought great surprises to people, but it has been about half a year since then, and … Read more
Click on the top “MLNLP“, select to add “starred” or “top” Heavyweight content delivered first time Editor: Yi Zhen https://www.zhihu.com/question/48345431 This article is for academic sharing only, if there is infringement, the article will be deleted. How to Evaluate fastText Algorithm Proposed by Word2Vec Author?Does Deep Learning Have No Advantage in Simple Tasks like Text … Read more
Exploring Python Natural Language Processing Library NLTK Beginner: Oh great one, I find it really difficult to handle natural language tasks, and my code is all over the place. Is there any useful library that can help me? 😩 Expert: Of course! 🙌 Today, I will introduce you to the Python Natural Language Processing Library … Read more
Click the above to follow us! Office automation is becoming increasingly popular, and everyone wants to improve work efficiency. Python is perfect for this! Today, let’s discuss how to use Python’s Natural Language Processing (NLP) technology to solve some common office problems. Don’t worry, I’ll explain it in the simplest terms so that you can … Read more