×
Natural Language Processing

Alibaba Cloud PAI: New Features of Alibaba Cloud's Machine Learning Platform

This article discusses the newly introduced features and capabilities of Alibaba Cloud's machine learning platform, PAI.

Build a Personalized Recommendation System on Alibaba Cloud in Three Steps

This article explains how to build a personalized recommendation system by illustrating a news recommendation system using AnalyticDB for PostgreSQL.

The Application of Natural Language Processing in OpenSearch

This article interprets and analyzes the common issues of building search engines by combining the technical points of NLP in OpenSearch.

Basic Machine Learning: How to Recognize a Cat

This article explains the main steps for training a machine and obtaining a model, provides some simple practices, and shares a basic principle of machine learning.

KDD 2020: Semi-Supervised Collaborative Filtering by Text-Enhanced Domain Adaptation

Hear 3 experts from the Alibaba Group and 2 researchers from Tsinghua University talk about recommendation algorithms and machine learning.

Natural Language Intelligence: Building a Language Bridge for Business

Highlights from Alibaba CIO Academy's 9th public live broadcast about fighting the pandemic with natural language processing (NLP) technology.

Chatbots - Technology and the Future

This article discusses chatbots: what they are, how they work, and future possibilities. It also outlines how organizations can leverage the Alibaba Cloud Intelligent Service Robot.

Where Does AI Stand Today?

In this blog, Jin Rong, VP of Research at Alibaba DAMO Academy, discusses the current practices, innovations, and future avenues of exploration in AI.

The Secret Behind Taobao's AI-Powered Personalized Recommendations

This article introduces Alibaba's Artificial Intelligence Online Serving (AI OS) and the evolution of its technical architecture and practices.

See How a Professional Translation Platform's Helping Experts Fight the Coronavirus

The team at Alibaba DAMO Academy has recently launched a platform to help provide professional translation services to medical experts around the world.

Progress in Dialog Management Model Research

This article provides a summary of the progress made in dialog management model research over the years.

How Is Alibaba Cloud Helping Financial Institutions during the Epidemic

Learn how Alibaba Cloud has been helping financial institutions in China stay afloat during the coronavirus epidemic.

See How Alibaba and VIPKid are Doing Their Part in the Fight against COVID-19

See how Alibaba and its partner VIPKid are doing their part in the global fight against the coronavirus.

Robot Factory: Fighting Coronavirus and Other Real-Life Challenges with Intelligent Chatbots

Robot Factory is an incubation platform for intelligent chatbots that uses NLP to tackle real-life issues, including dealing with the recent COVID-19 outbreak.

Fighting Coronavirus with Technology: Another Breakthrough for Alibaba in NLP Research

Alibaba's DAMO Academy NLP model StructBERT recently topped the GLUE benchmark rankings and is also playing a key role in the fight against COVID-19.

What Is a Chatbot Really Thinking When You're Talking with It

This article outlines research conducted at Alibaba for improving chatbot capabilities on its e-commerce platforms.

Is Unlabeled Data Not So Useless After All? See What Alibaba's Doing with It

This article looks at the algorithm devised by Alibaba engineers, which turns unlabeled data into a valuable commodity.

Go Global with Machine Translation

Creating content in multiple languages is an easy way to increase your global audience. In this post, we'll show you how you can achieve that with Alibaba Cloud's Machine Translation service.

Lessons Learned at the 2017 CIKM AnalytiCup Machine Learning Competition

The CIKM AnalytiCup Machine Learning Competition is a platform to explore how different AI algorithms compete against each other in solving real-world problems.

A Quick Dive into Deep Learning: From Neural Cells to BERT

This article looks at the evolution of deep learning models in the field of natural language processing and some trends in this space.