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Natural Language Generation

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DataFunSummit
DataFunSummit
Jul 20, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development History, Graph‑Based Structured Explanations, and Natural Language Generation

This article provides a comprehensive overview of explainable recommendation, covering its motivation, evolution, graph‑based structured explanation techniques, natural‑language generation methods, recent research advances, and open challenges such as fact‑checking, low‑resource scenarios, and evaluation metrics.

Knowledge GraphNatural Language Generationartificial intelligence
0 likes · 17 min read
Explainable Recommendation: Background, Development History, Graph‑Based Structured Explanations, and Natural Language Generation
DataFunSummit
DataFunSummit
Jul 18, 2022 · Artificial Intelligence

Advances in Natural Language Generation: ProphetNet, Knowledge‑Enhanced Generation, Non‑Autoregressive Pre‑training, Long‑Text Modeling, and Efficient Attention

This talk presents recent year’s research on natural language generation, covering the ProphetNet pre‑trained generation model, external‑knowledge integration for generation, non‑autoregressive pre‑training (BANG), the Poolingformer long‑text architecture, EL‑attention for faster decoding, and a new multi‑task generation benchmark.

Natural Language Generationefficient attentionknowledge integration
0 likes · 22 min read
Advances in Natural Language Generation: ProphetNet, Knowledge‑Enhanced Generation, Non‑Autoregressive Pre‑training, Long‑Text Modeling, and Efficient Attention
DataFunSummit
DataFunSummit
Jul 16, 2022 · Artificial Intelligence

Data‑to‑Text Generation: Controllability, Reliability, and Planning Strategies

This article introduces data‑to‑text generation, discusses its task background, common datasets, structured data representations, explicit and implicit planning methods, model architectures such as RNN, Transformer and VAE, and compares the advantages and challenges of each approach.

Natural Language Generationaidata-to-text
0 likes · 16 min read
Data‑to‑Text Generation: Controllability, Reliability, and Planning Strategies
DataFunTalk
DataFunTalk
Jun 11, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

This article reviews the emerging field of explainable recommendation, covering its motivation, historical evolution from template‑based to knowledge‑graph and generative‑language approaches, recent advances in graph‑structured and natural‑language explanations, key research works, industrial applications, and open challenges such as fact‑checking, low‑resource settings, and evaluation methods.

Knowledge GraphNatural Language Generationai
0 likes · 16 min read
Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances
JD Retail Technology
JD Retail Technology
Nov 16, 2021 · Artificial Intelligence

Automatic Product Copywriting for E-Commerce: The APCG System and Its AI Innovations

The APCG system, awarded the AAAI 2022 Innovation Application Prize, automatically generates e‑commerce product copy using a Transformer‑Pointer network and a pretrained sequence‑to‑sequence model, incorporates quality control, employs novel pretraining tasks, and has produced millions of descriptions that boost CTR, CVR, and GMV.

Natural Language Generationaicopywriting
0 likes · 6 min read
Automatic Product Copywriting for E-Commerce: The APCG System and Its AI Innovations
Laiye Technology Team
Laiye Technology Team
Jun 8, 2021 · Artificial Intelligence

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue Systems

This paper presents a hierarchical reinforcement learning approach that jointly trains dialogue policy and natural language generation modules for task-oriented dialogue systems, achieving state‑of‑the‑art performance on MultiWOZ 2.0 and 2.1 while preserving response fluency.

MultiWOZNatural Language Generationdialogue policy
0 likes · 10 min read
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue Systems
58 Tech
58 Tech
Mar 13, 2019 · Artificial Intelligence

Design and Implementation of the 58.com Intelligent Article Writing Robot

The article describes the design, workflow, and two‑stage model improvements of 58.com’s intelligent writing robot, which uses template matching, seq2seq with attention and BeamSearch, and slot‑replacement techniques to automatically generate titles and body content for real‑estate and used‑car promotions, achieving high publishing volume and readership.

AI writingBLEUBeamSearch
0 likes · 9 min read
Design and Implementation of the 58.com Intelligent Article Writing Robot
DataFunTalk
DataFunTalk
Feb 1, 2019 · Artificial Intelligence

Intelligent Writing: How AI Empowers Media Content Creation

This article explains how Baidu's Knowledge Graph team leverages artificial intelligence, natural language processing, and knowledge‑driven technologies to automate and assist media content creation, detailing the background, technical architecture, automatic and assisted writing workflows, challenges, and future prospects.

Intelligent WritingKnowledge GraphMedia
0 likes · 13 min read
Intelligent Writing: How AI Empowers Media Content Creation
JD Retail Technology
JD Retail Technology
Jul 18, 2018 · Artificial Intelligence

JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce

JD.com describes its AI-powered image automation pipeline—including intelligent cutout, layout learning, and batch synthesis—along with a large-scale product knowledge graph that enables applications such as the JIMI customer service robot and the Li Bai writing assistant for global e-commerce.

Customer Service RobotKnowledge GraphNatural Language Generation
0 likes · 7 min read
JD's AI-Driven Image Automation and Knowledge Graph Applications in E-commerce