TrICy: Trigger-Guided Data-to-Text Generation With Intent Aware Attention-Copy
Author:
Affiliation:
1. Samsung R&D Institute Bangalore, Bangalore, India
Funder
Samsung R&D Institute Bangalore
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6570655/10304349/10398416.pdf?arnumber=10398416
Reference61 articles.
1. The E2E dataset: New challenges for end-to-end generation;Novikova,2017
2. Creating training corpora for NLG micro-planners;Gardent,2017
3. Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
4. Data-to-text generation with entity modeling;Puduppully,2019
5. Key fact as pivot: A two-stage model for low resource table-to-text generation;Ma,2019
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