GRU

End-to-End Natural Language Generation for Conversational Agents

Dataset : E2E NLG Challenge Each instance consist of a dialogue act-based meaning representation (MR) and up to 5 references in natural language MR: name[The Eagle], eatType[coffee shop], food[French], priceRange[moderate], customerRating[3/5], area[riverside], kidsFriendly[yes], near[Burger King] NL: