50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441681" target="_blank" >RIV/00216208:11320/21:10441681 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1145/3459637.3482405" target="_blank" >https://doi.org/10.1145/3459637.3482405</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3459637.3482405" target="_blank" >10.1145/3459637.3482405</a>

Jazyk výsledku

angličtina

Název v původním jazyce

50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts

Popis výsledku v původním jazyce

The web is full of guidance on a wide variety of tasks, from changing the oil in your car to baking an apple pie. However, as content is created independently, a single task could have thousands of corresponding procedural texts. This makes it difficult for users to view the bigger picture and understand the multiple ways the task could be accomplished. In this work we propose an unsupervised learning approach for summarizing multiple procedural texts into an intuitive graph representation, allowing users to easily explore commonalities and differences. We demonstrate our approach on recipes, a prominent example of procedural texts. User studies show that our representation is intuitive and coherent and that it has the potential to help users with several sensemaking tasks, including adapting recipes for a novice cook and finding creative ways to spice up a dish.

Název v anglickém jazyce

50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts

Popis výsledku anglicky

The web is full of guidance on a wide variety of tasks, from changing the oil in your car to baking an apple pie. However, as content is created independently, a single task could have thousands of corresponding procedural texts. This makes it difficult for users to view the bigger picture and understand the multiple ways the task could be accomplished. In this work we propose an unsupervised learning approach for summarizing multiple procedural texts into an intuitive graph representation, allowing users to easily explore commonalities and differences. We demonstrate our approach on recipes, a prominent example of procedural texts. User studies show that our representation is intuitive and coherent and that it has the potential to help users with several sensemaking tasks, including adapting recipes for a novice cook and finding creative ways to spice up a dish.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Conference on Information and Knowledge Management, Proceedings

ISBN

978-1-4503-8446-9

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

1304-1314

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

online

Datum konání akce

1. 11. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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