Query-Variant Advertisement Text Generation with Association Knowledge
Author:
Affiliation:
1. Peking University, Beijing, China
2. Beijing Language and Culture University, Beijing, China
3. Tencent, Shenzhen, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3482290
Reference37 articles.
1. Question Answering with Subgraph Embeddings
2. Open Question Answering with Weakly Supervised Embedding Models
3. Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
4. Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
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