©PaperWeekly Original · Author｜Su Jianlin Unit｜Zhuiyi Technology Research Direction｜NLP, Neural Networks ▲ The Years of “Chickens and Rabbits in the Same Cage” “Profit and loss problems”, “age problems”, “planting trees problems”, “cows eating grass problems”, “profit problems”… Have you ever been tormented by various types of math word problems during elementary school? No worries, machine … Read more
Author: Occam’s Razor Personal Blog: https://blog.csdn.net/yilulvxing Paper Link: https://arxiv.org/abs/1704.02971 Github Code Link: https://github.com/LeronQ/DA-RNN The paper is titled “Recurrent Neural Network Based on Two-Stage Attention Mechanism”. Essentially, the article is based on the Seq2Seq model, combined with an attention mechanism to realize time series prediction methods. A major highlight of the article is that it introduces … Read more
In the previous article, we learned about the basic seq2seq model, which processes the input sequence through an encoder, passes the calculated hidden state to a decoder, and then decodes it to obtain the output sequence. The block diagram is shown again below: The basic seq2seq model is quite effective for short and medium-length sentences … Read more
Selected from TowardsDataScience Author: Raimi Karim Contributors: Gao Xuan, Lu This article visually explains the attention mechanism with several animated diagrams and shares four NMT architectures that have emerged in the past five years, along with intuitive explanations of some concepts mentioned in the text. For decades, statistical machine translation has dominated translation models [9], … Read more
Selected from arXiv Author: Graham Neubig Translation by Machine Heart Contributors: Li Zenan, Jiang Siyuan This article is a detailed tutorial on machine translation, suitable for readers with a background in computer science. According to Paper Weekly (ID: paperweekly), this paper comes from CMU LTI and covers various foundational knowledge of the Seq2Seq method, including … Read more
This article is authorized to be reprinted from the WeChat public account Paper Weekly (ID: paperweekly). Paperweekly shares interesting papers in the field of natural language processing every week. Introduction Dialogue systems are currently a research hotspot and a focus for venture capital. Since the beginning of 2016, countless companies have been established that create … Read more
Introduction The left side of the figure below shows the traditional Seq2Seq model (which encodes a sequence and then decodes it back into a sequence). This is a conventional LSTM-based model, where the hidden state at a given timestamp in the Decoder only depends on the current timestamp’s hidden state and the output from the … Read more
Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Produced by Machine Learning Algorithms and Natural Language Processing Original Column Author: Don.hub Organization | JD Algorithm Engineer School | Imperial College London Outline Intuition Analysis Pros Cons From Seq2Seq To Attention Model Seq2Seq is important, but its drawbacks are also evident Attention … Read more
Follow the WeChat official account “ML_NLP“ Set as “Starred“, delivering heavy content to you first! Source | Zhihu Link | https://zhuanlan.zhihu.com/p/78850152 Author | Ailuo Yue Editor | Machine Learning Algorithms and Natural Language Processing WeChat Official Account This article is for academic sharing only. If there is any infringement, please contact us for removal. 1 … Read more
Click the “AI Park” above to follow the public account and choose to add “Star Mark” or “Top”. Author: Raimi Karim Translator: ronghuaiyang Introduction Previously, I shared several articles on attention, feeling unsatisfied. This time, I will explain the Attention mechanism using GIFs, making it easy to understand, and explain how it is used in … Read more