Automatic Generation of Conversational Interfaces for Tabular Data Analysis-Reference-Cited by-同舟云学术

Automatic Generation of Conversational Interfaces for Tabular Data Analysis

Published:2024-07-08 Issue: Volume:21 Page:1-6
ISSN:
Container-title:ACM Conversational User Interfaces 2024
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Short-container-title:

Author:

Gomez-Vazquez Marcos¹^ORCID,Cabot Jordi²^ORCID,Clarisó Robert³^ORCID

Affiliation:

1. ITIS, Luxembourg Institute of Science and Technology, Luxembourg

2. ITIS, Luxembourg Institute of Science and Technology, Luxembourg and University of Luxembourg, Luxembourg

3. Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640794.3665577

Reference16 articles.

1. Abhijith Neil Abraham, Fariz Rahman, and Damanpreet Kaur. 2022. TableQuery: Querying tabular data with natural language. CoRR abs/2202.00454 (2022). arXiv:2202.00454

2. Caio Viktor S. Avila, Wellington Franco, José Gilvan Rodrigues Maia, and Vânia Maria P. Vidal. 2020. CONQUEST: A Framework for Building Template-Based IQA Chatbots for Enterprise Knowledge Graphs. In 25th Int Conf on Applications of Natural Language to Information Systems, NLDB 2020(LNCS, Vol. 12089). Springer, 60–72.

3. Marcos Baez, Claudia Maria Cutrupi, Maristella Matera, Isabella Possaghi, Emanuele Pucci, Gianluca Spadone, Cinzia Cappiello, and Antonella Pasquale. 2022. Exploring Challenges for Conversational Web Browsing with Blind and Visually Impaired Users. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. ACM, Article 234, 7 pages.

4. A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government

5. Conversational Data Exploration