factgenie: A Framework for Span-based Evaluation of Generated Texts

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492869" target="_blank" >RIV/00216208:11320/24:10492869 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2024.inlg-demos.5/" target="_blank" >https://aclanthology.org/2024.inlg-demos.5/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

factgenie: A Framework for Span-based Evaluation of Generated Texts

Original language description

We present ‘factgenie‘: a framework for annotating and visualizing word spans in textual model outputs. Annotations can capture various span-based phenomena such as semantic inaccuracies or irrelevant text. With ‘factgenie‘, the annotations can be collected both from human crowdworkers and large language models. Our framework consists of a web interface for data visualization and gathering text annotations, powered by an easily extensible codebase.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations

ISBN

979-8-89176-123-0

ISSN

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e-ISSN

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Number of pages

3

Pages from-to

13-15

Publisher name

Association for Computational Linguistics

Place of publication

Kerrville, TX, USA

Event location

Tokyo, Japan

Event date

Sep 23, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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