This article is expected to take 20min, through the main knowledge: understand the development history of NLP and NLP task boundaries learn how to quickly...
This article follows the content of "HanLP- HM-Viterbi Based on the principle of name recognition" to introduce the principle of cascading hidden horse. First of...
Small knowledge, big challenge! This article is participating in the creation activity of "Essential Tips for Programmers". Euclidean Distance, Manhattan Distance...
ERNIE is known as Enhanced Language Representation with Informative Entities (ERNIE), which is proposed by Baidu to enable the model to learn current knowledge contained...
A (simple) music recommendation system based on mood design and implementation. Different time, different scene, different mood, I will listen to different songs for you,...
[Experimental] This paper is published in ACL 2019. The first author is Julia Ive from the University of Sheffield. The author uses a two-stage translation...
I'm participating in nuggets Creators Camp # 4, click here to learn more and learn together! SParC data set Introduction SParC is a multi-round query...
[Experimental Part] Multi-mode machine translation has been popular for so long, and various scholars have their own talents, but the improvement of the effect is...
Natural language processing is one of the core problems in artificial intelligence research. MetaMind, a deep learning company that Salesforce has announced it will acquire,...
The author designs a series of input fusion methods for the Transformer architecture and then applies these methods to multi-mode machine translation and multi-source machine...
This paper is published in ACM MM 2020. The authors are from Xiamen University. The author uses capsule network in multimodal machine translation decoder, which...
[Methods] Multi-mode machine translation has been popular for so long, and various scholars have different skills, but the improvement of the effect is relatively limited....
Nowadays, in the hot field of artificial intelligence, the most embarrassing problem is the contradiction between the increasingly large scale of the industry and the...
In multimodal machine translation, the two modes of image and text information are not equally important, but the past work has not paid attention to...
At Baidu world conference AI technology and platform forum in November last year, Yang ruigang, chief scientist of Baidu 3D vision announced the launch of...
Dr. Hans Uszkoreit, Science and Technology Director of The German Artificial Intelligence Research Center, believes that language technology is a core part of artificial intelligence,...
Probabilistic task is the most common unsupervised task in natural language processing. LM is a classical probability density estimation problem. In practice, it usually refers...
"This is my 28th day of participating in the First Challenge 2022. For details: First Challenge 2022." The introduction of this article is my previous...
With the application of big data becoming more and more widespread, ARTIFICIAL intelligence is finally showing its vitality again after several ups and downs. In...
Compiled from arXiv by Chenxi Liu et al., Heart of Machine. Auto-deeplab, proposed by Fei-Fei Li and his colleagues at Stanford University, outperforms many of...