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19942024
most citedBuilding Natural-Language Generation Systems

1.2k citations · 1.4k across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.CL2024★ 7 cited

A System for Automatic English Text Expansion

Silvia García Méndez, Milagros Fernández Gavilanes, Enrique Costa Montenegro +3

We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistic…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2021★ 82 cited

A Systematic Review of Reproducibility Research in Natural Language Processing

Anya Belz, Shubham Agarwal, Anastasia Shimorina +1

Against the background of what has been termed a reproducibility crisis in science, the NLP field is becoming increasingly interested in, and conscientious about, the reproducibili…

cs.CL2020★ 1 cited

A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems

Craig Thomson, Ehud Reiter

Most Natural Language Generation systems need to produce accurate texts. We propose a methodology for high-quality human evaluation of the accuracy of generated texts, which is int…

cs.CL2020★ 3 cited

How are you? Introducing stress-based text tailoring

Simone Balloccu, Ehud Reiter, Alexandra Johnstone +1

Can stress affect not only your life but also how you read and interpret a text? Healthcare has shown evidence of such dynamics and in this short paper we discuss customising texts…

cs.CL2020

Shared Task on Evaluating Accuracy in Natural Language Generation

Ehud Reiter, Craig Thomson

We propose a shared task on methodologies and algorithms for evaluating the accuracy of generated texts. Participants will measure the accuracy of basketball game summaries produce…

cs.CL2018

Meteorologists and Students: A resource for language grounding of geographical descriptors

Alejandro Ramos-Soto, Ehud Reiter, Kees van Deemter +2

We present a data resource which can be useful for research purposes on language grounding tasks in the context of geographical referring expression generation. The resource is com…

cs.CL2018

Making effective use of healthcare data using data-to-text technology

Steffen Pauws, Albert Gatt, Emiel Krahmer +1

Healthcare organizations are in a continuous effort to improve health outcomes, reduce costs and enhance patient experience of care. Data is essential to measure and help achieving…