TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Data-to-Text Generation	E2E NLG Challenge	Gong	BLEU	64.22	# 10
Data-to-Text Generation	E2E NLG Challenge	Gong	NIST	8.3453	# 8
Data-to-Text Generation	E2E NLG Challenge	Gong	METEOR	44.69	# 7
Data-to-Text Generation	E2E NLG Challenge	Gong	ROUGE-L	66.45	# 10
Data-to-Text Generation	E2E NLG Challenge	Gong	CIDEr	2.2721	# 2

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Technical Report for E2E NLG Challenge

E2E NLG Challenge System Descriptions 2017 · Heng Gong ·

This paper describes the primary system submitted by the author to the E2E NLG Challenge on the E2E Dataset (Novikova et al. (2017)). Based on the baseline system called TGen (Dusek and Jurcicek (2016)), the primary system uses REINFORCE to utilize multiple reference for single Meaning Representation during training, while the baseline model treated them as individual training instances.

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