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Data To Text Generation On Cleaned E2E Nlg 1

Metrics

BLEU (Test set)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
DataTuner_FC	43.6	Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity
TGen	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
Control Prefixes (T5-large)	44.15	Control Prefixes for Parameter-Efficient Text Generation
LSTM	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
T5	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-
TGen	40.73	Semantic Noise Matters for Neural Natural Language Generation
BART	-	The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics	-

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Data To Text Generation On Cleaned E2E Nlg 1 | SOTA | HyperAI