Evaluating NLG systems: A brief introduction

Emiel van Miltenburg

Evaluating NLG systems: A brief introduction

Research output: Other contribution

Abstract

This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide an incentive for NLG researchers to pay more attention to the way they assess the output of their systems. This essay provides a short introduction to evaluation in NLG, explaining key terms and distinctions.

Original language	English
Type	Essay
Media of output	Online
Number of pages	6
Publication status	Published - 2023

Keywords

Natural Language Generation
Evaluation
System

Access to Document

https://arxiv.org/abs/2303.16742Licence: CC BY

Cite this

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title = "Evaluating NLG systems: A brief introduction",

abstract = "This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide an incentive for NLG researchers to pay more attention to the way they assess the output of their systems. This essay provides a short introduction to evaluation in NLG, explaining key terms and distinctions.",

keywords = "Natural Language Generation, Evaluation, System",

author = "{van Miltenburg}, Emiel",

note = "Originally published on the website of the International Conference on Natural Language Generation (INLG) 2023: https://inlg2023.github.io/eval_blog.html",

year = "2023",

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T2 - A brief introduction

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PY - 2023

Y1 - 2023

N2 - This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide an incentive for NLG researchers to pay more attention to the way they assess the output of their systems. This essay provides a short introduction to evaluation in NLG, explaining key terms and distinctions.

AB - This year the International Conference on Natural Language Generation (INLG) will feature an award for the paper with the best evaluation. The purpose of this award is to provide an incentive for NLG researchers to pay more attention to the way they assess the output of their systems. This essay provides a short introduction to evaluation in NLG, explaining key terms and distinctions.

KW - Natural Language Generation

KW - Evaluation

KW - System

UR - https://inlg2023.github.io/eval_blog.html

M3 - Other contribution

ER -

Evaluating NLG systems: A brief introduction

Abstract

Keywords

Access to Document

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