Advances in Sequence‑to‑Sequence Text Generation: Attention, Pointer, Copy, and Transformer Models

This article reviews the evolution of encoder‑decoder based text generation, covering classic seq2seq with attention, pointer networks, copy mechanisms, knowledge‑enhanced models, convolutional approaches, and the latest Transformer‑based pre‑training such as MASS, highlighting their architectures, key innovations, and practical considerations.

NLPSeq2SeqText Generation

0 likes · 17 min read

Advances in Sequence‑to‑Sequence Text Generation: Attention, Pointer, Copy, and Transformer Models

Alibaba Cloud Developer

Jun 27, 2019 · Artificial Intelligence

Generating Personalized E‑commerce Review Replies with Product Information

This paper presents a sequence‑to‑sequence model that fuses product‑detail tables with customer comments, using gated multimodal attention, copy mechanisms and reinforcement learning to automatically produce high‑quality, context‑aware replies for e‑commerce platforms, and validates the approach with extensive experiments on a large Taobao dataset.

Reinforcement LearningSequence-to-Sequencecopy mechanism

0 likes · 21 min read

Generating Personalized E‑commerce Review Replies with Product Information