Source: DeepHub IMBA This article is approximately 1000 words long and is recommended to be read in 5 minutes. This article will provide a complete summary of word embedding models. TF-IDF, Word2Vec, GloVe, FastText, ELMO, CoVe, BERT, RoBERTa The role of word embeddings in deep models is to provide input features for downstream tasks (such … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, teachers from universities, and researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the progress … Read more
Paper Title Intelligent Manufacturing Maturity Assessment Method Based on BERT and TextCNN Authors Zhang Gan1, Yuan Tangxiao1,2, Wang Huifen1 (Corresponding Author), Liu Linyan1 Affiliations 1. School of Mechanical Engineering, Nanjing University of Science and Technology 2. Lorrain University LCOMS Funding Supported by the High-end Foreign Experts Introduction Program of the Ministry of Science and Technology … Read more
Author | mantch Reprinted from WeChat Official Account | AI Technology Review 1. What is XLNet XLNet is a model similar to BERT, rather than a completely different model. In short, XLNet is a general autoregressive pre-training method. It was released by the CMU and Google Brain teams in June 2019, and ultimately, XLNet outperformed … Read more
Article Title: Automatic Scoring System for Subjective Questions Based on Siamese Network and BERT Model All Authors: Qian Shenghua First Institution: Beijing Normal University, School of Artificial Intelligence Publication Date: 2022, 31(3): 143–149 Abstract Summary Due to the current lack of automatic scoring for subjective questions in multilingual education, this paper proposes an automatic scoring … Read more
Source: Algorithm Advancement This article is approximately 8900 words long and is recommended to be read in 9 minutes. This article comprehensively introduces evaluation methods for large language models. Since the introduction of the Transformer model in 2017, research in natural language processing has gradually shifted towards pre-trained models based on this framework, such as … Read more
Reprinted from WeChat Official Account: AI Technology Review Author: Yang Xiaofan Since the success of Google’s BERT model in 2018, more and more researchers have drawn on BERT’s ideas for tasks beyond pure text, developing various visual/video (Visual/Video) fusion BERT models.Here we introduce the original VideoBERT paper and six other recent V-BERT papers (sorted in … Read more
Follow the WeChat public account “ML_NLP” Set it as “Starred”, heavy content delivered first time! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/268130746 Author | Mr.robot Editor | Machine Learning Algorithms and Natural Language Processing WeChat Public Account This article has been authorized by the author, and secondary reproduction is prohibited without permission. Interviewer: Do you understand … Read more
Delivering NLP technical insights to you every day! Author | SinGaln Source | PaperWeekly This is an article from ACL 2022. The overall idea is to use a dual-tower BERT model to encode text tokens and their corresponding labels separately based on meta-learning, and then perform classification on the output obtained from the dot product … Read more
Source: DeepHub IMBA This article is about 2700 words long and suggests a reading time of 9 minutes. This article takes you into the details of Distil and provides a complete code implementation. This article provides a detailed introduction to DistilBERT and gives a complete code implementation. Machine learning models have become increasingly large, and … Read more