HyperAIHyperAI

Command Palette

Search for a command to run...

3 months ago

Technical Report for E2E NLG Challenge

{Heng Gong}

Abstract

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.

Benchmarks

BenchmarkMethodologyMetrics
data-to-text-generation-on-e2e-nlg-challengeGong
BLEU: 64.22
CIDEr: 2.2721
METEOR: 44.69
NIST: 8.3453
ROUGE-L: 66.45

Build AI with AI

From idea to launch — accelerate your AI development with free AI co-coding, out-of-the-box environment and best price of GPUs.

AI Co-coding
Ready-to-use GPUs
Best Pricing
Get Started

Hyper Newsletters

Subscribe to our latest updates
We will deliver the latest updates of the week to your inbox at nine o'clock every Monday morning
Powered by MailChimp
Technical Report for E2E NLG Challenge | Papers | HyperAI