1.2k citations · 1.4k across the 18 of their papers we have counts for
19 papers
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…
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev +1
In explainable artificial intelligence (XAI) research, the predominant focus has been on interpreting models for experts and practitioners. Model agnostic and local explanation app…
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…
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…
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…
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…
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…
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults
Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon +4
Delivery of digital behaviour change interventions which encourage physical activity has been tried in many forms. Most often interventions are delivered as text notifications, but…
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…
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…
An Empirical Approach for Modeling Fuzzy Geographical Descriptors
Alejandro Ramos-Soto, Jose M. Alonso, Ehud Reiter +2
We present a novel heuristic approach that defines fuzzy geographical descriptors using data gathered from a survey with human subjects. The participants were asked to provide grap…
Tailored Patient Information: Some Issues and Questions
Ehud Reiter, Liesl Osman
Tailored patient information (TPI) systems are computer programs which produce personalised heath-information material for patients. TPI systems are of growing interest to the natu…
Knowledge Acquisition for Content Selection
Ehud Reiter, Alison Cawsey, Liesl Osman +1
An important part of building a natural-language generation (NLG) system is knowledge acquisition, that is deciding on the specific schemas, plans, grammar rules, and so forth that…
Building Natural-Language Generation Systems
Ehud Reiter
This is a very short paper that briefly discusses some of the tasks that NLG systems perform. It is of no research interest, but I have occasionally found it useful as a way of int…
The Role of the Gricean Maxims in the Generation of Referring Expressions
Robert Dale, Ehud Reiter
Grice's maxims of conversation [Grice 1975] are framed as directives to be followed by a speaker of the language. This paper argues that, when considered from the point of view of…
Computational Interpretations of the Gricean Maxims in the Generation of Referring Expressions
Robert Dale, Ehud Reiter
We examine the problem of generating definite noun phrases that are appropriate referring expressions; i.e, noun phrases that (1) successfully identify the intended referent to the…
NLG vs. Templates
Ehud Reiter
One of the most important questions in applied NLG is what benefits (or `value-added', in business-speak) NLG technology offers over template-based approaches. Despite the importan…
Has a Consensus NL Generation Architecture Appeared, and is it Psycholinguistically Plausible?
Ehud Reiter
I survey some recent applications-oriented NL generation systems, and claim that despite very different theoretical backgrounds, these systems have a remarkably similar architectur…
Automatic Generation of Technical Documentation
Ehud Reiter, Chris Mellish, John Levine
Natural-language generation (NLG) techniques can be used to automatically produce technical documentation from a domain knowledge base and linguistic and contextual models. We disc…