PROJECT ETAL PROXYCAP MODS

%C Online and Punta Cana, Dominican Republic %I Association for Computational Linguistics %S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations %T Project Debater APIs: Decomposing the AI Grand Challenge In particular, we will focus on Key Point Analysis, a novel technology that identifies the main points and their prevalence in a collection of texts such as survey responses and user reviews. We describe these APIs and their performance, and demonstrate how they can be used for building practical solutions. This diverse set of web services, publicly available for academic use, includes core NLP services, argument mining and analysis capabilities, and higher-level services for content summarization. Project Debater APIs provide access to many of these capabilities, as well as to more recently developed ones. Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask. Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics. Online and Punta Cana, Dominican Republic Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System DemonstrationsДЄssociation for Computational Linguistics Project Debater APIs: Decomposing the AI Grand Challenge In particular, we will focus on Key Point Analysis, a novel technology that identifies the main points and their prevalence in a collection of texts such as survey responses and user reviews.', Publisher = 'Association for Computational Linguistics',ДЄbstract = 'Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics.

PROJECT ETAL PROXYCAP MODS

Cite (Informal): Project Debater APIs: Decomposing the AI Grand Challenge (Bar-Haim et al., EMNLP 2021) Copy Citation: BibTeX Markdown MODS XML Endnote More optionsвЂ¦ PDF: Video: Data = 'Project Grand Challenge',Д«ooktitle = 'Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations',ДЄddress = 'Online and Punta Cana, Dominican Republic', Association for Computational Linguistics. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 267вЂ“274, Online and Punta Cana, Dominican Republic. Project Debater APIs: Decomposing the AI Grand Challenge. Anthology ID: 2021.emnlp-demo.31 Volume: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations Month: November Year: 2021 Address: Online and Punta Cana, Dominican Republic Venue: EMNLP SIG: Publisher: Association for Computational Linguistics Note: Pages: 267вЂ“274 Language: URL: DOI: 10.18653/v1/2021.emnlp-demo.31 Bibkey: bar-haim-etal-2021-project Cite (ACL): Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, and Noam Slonim. Abstract Project Debater was revealed in 2019 as the first AI system that can debate human experts on complex topics.

Project etal proxycap