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- research-articleJune 2024
"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
CHIWORK '24: Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for WorkJune 2024, Article No.: 16, Pages 1–21https://doi.org/10.1145/3663384.3663389Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources, ...
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
- Mukul Singh,
- José Cambronero,
- Sumit Gulwani,
- Vu Le,
- Carina Negreanu,
- Elnaz Nouri,
- Mohammad Raza,
- Gust Verbruggen
Proceedings of the VLDB Endowment (PVLDB), Volume 17, Issue 3Pages 497–510https://doi.org/10.14778/3632093.3632111Formatting is an important property in tables for visualization, presentation, and analysis. Spreadsheet software allows users to automatically format their tables by writing data-dependent conditional formatting (CF) rules. Writing such rules is often ...
- research-articleAugust 2023
Cornet: Learning Spreadsheet Formatting Rules by Example
Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 12Pages 4058–4061https://doi.org/10.14778/3611540.3611620Data management and analysis tasks are often carried out using spreadsheet software. A popular feature in most spreadsheet platforms is the ability to define data-dependent formatting rules. These rules can express actions such as "color red all entries ...
Cornet: Learning Table Formatting Rules By Example
- Mukul Singh,
- José Cambronero Sánchez,
- Sumit Gulwani,
- Vu Le,
- Carina Negreanu,
- Mohammad Raza,
- Gust Verbruggen
Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 10Pages 2632–2644https://doi.org/10.14778/3603581.3603600Spreadsheets are widely used for table manipulation and presentation. Stylistic formatting of these tables is an important property for presentation and analysis. As a result, popular spreadsheet software, such as Excel, supports automatically ...
- research-articleApril 2023Honorable Mention
“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models
- Michael Xieyang Liu,
- Advait Sarkar,
- Carina Negreanu,
- Benjamin Zorn,
- Jack Williams,
- Neil Toronto,
- Andrew D. Gordon
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 598, Pages 1–31https://doi.org/10.1145/3544548.3580817Code-generating large language models map natural language to code. However, only a small portion of the infinite space of naturalistic utterances is effective at guiding code generation. For non-expert end-user programmers, learning this is the ...
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- research-articleOctober 2022
LinkingPark: An automatic semantic table interpretation system
- Shuang Chen,
- Alperen Karaoglu,
- Carina Negreanu,
- Tingting Ma,
- Jin-Ge Yao,
- Jack Williams,
- Feng Jiang,
- Andy Gordon,
- Chin-Yew Lin
Web Semantics: Science, Services and Agents on the World Wide Web (WEBS), Volume 74, Issue COct 2022https://doi.org/10.1016/j.websem.2022.100733AbstractIn this paper, we present LinkingPark, an automatic semantic annotation system for tabular data to knowledge graph matching. LinkingPark is designed as a modular framework which can handle Cell-Entity Annotation (CEA), Column-Type ...
- research-articleAugust 2022
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
WWW '22: Companion Proceedings of the Web Conference 2022April 2022, Pages 1272–1280https://doi.org/10.1145/3487553.3524923Row completion is the task of augmenting a given table of text and numbers with additional, relevant rows. The task divides into two steps: subject suggestion, the task of populating the main column; and gap filling, the task of populating the ...
- extended-abstractMarch 2022
TExSS 22: Transparency and Explanations in Smart Systems
- Tsvi Kuflik,
- Jonathan Dodge,
- Styliani Kleanthous Loizou,
- Brian Lim,
- Carina Negreanu,
- Avital Shulner-Tal,
- Simone Stumpf
IUI '22 Companion: Companion Proceedings of the 27th International Conference on Intelligent User InterfacesMarch 2022, Pages 16–17https://doi.org/10.1145/3490100.3511165Smart systems, such as decision support or recommender systems, continue to prove challenging for people to understand, but are nonetheless ever more pervasive based on the promise of harnessing rich data sources that are becoming available in every ...