KB-to-Language Generation
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Benchmarks
Most implemented
Investigating Pretrained Language Models for Graph-to-Text Generation
2020-07-16 · 구현 3개
Stage-wise Fine-tuning for Graph-to-Text Generation
2021-05-17 · 구현 1개
Describing a Knowledge Base
2018-09-06 · 구현 1개
Papers
Stage-wise Fine-tuning for Graph-to-Text Generation
2021-05-17 · ACL 2021 5
· Qingyun Wang, Semih Yavuz, Victoria Lin, Heng Ji 외
Graph-to-text generation has benefited from pre-trained language models (PLMs) in achieving better performance than structured graph encoders. However, they fail to fully utilize the structure information of the input gr…
Data-to-Text GenerationKB-to-Language GenerationLanguage ModelingLanguage Modelling+2Investigating Pretrained Language Models for Graph-to-Text Generation
2020-07-16 · EMNLP (NLP4ConvAI) 2021 11
· Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych
Graph-to-text generation aims to generate fluent texts from graph-based data. In this paper, we investigate two recently proposed pretrained language models (PLMs) and analyze the impact of different task-adaptive pretra…
AMR-to-Text GenerationData-to-Text GenerationKB-to-Language GenerationKG-to-Text Generation+3Describing a Knowledge Base
2018-09-06 · WS 2018 11
· Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang 외
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can copy facts from the input KB, and add t…
Data-to-Text GenerationKB-to-Language GenerationTable-to-Text GenerationText Generation