Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Angelina Mcmillan-Major"'
Publikováno v:
ACM Journal on Responsible Computing.
Responsible computing ultimately requires that technical communities develop and adopt tools, processes, and practices that mitigate harms and support human flourishing. Prior efforts toward the responsible development and use of datasets, machine le
Autor:
Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Šaško, Quentin Lhoest, Angelina Mcmillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco de Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Romero Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Vu Minh Chien, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilić, Margaret Mitchell, Sasha Luccioni, Yacine Jernite
Publikováno v:
HAL
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop, a 1-year international and multidisciplinary initiative, was formed w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4f6aa98013be0d5a61119e2bb20f3a
Publikováno v:
Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing.
Publikováno v:
FAccT
The past 3 years of work in NLP have been characterized by the development and deployment of ever larger language models, especially for English. BERT, its variants, GPT-2/3, and others, most recently Switch-C, have pushed the boundaries of the possi
Autor:
Thibault Sellam, Vikas Raunak, Cristina Garbacea, Simon Mille, Tatsunori Hashimoto, Miruna-Adriana Clinciu, Ankur P. Parikh, Angelina McMillan-Major, Samira Shaikh, Kaustubh Dhole, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Laura Perez-Beltrachini, Marco Antonio Sobrevilla Cabezudo, Juan Diego Rodriguez, Sashank Santhanam, Bodhisattwa Prasad Majumder, Dhruv Kumar, Esin Durmus, Dipanjan Das, Wei Xu, Wanyu Du, Vitaly Nikolaev, Faisal Ladhak, Moin Nadeem, Chris Chinenye Emezue, Varun Gangal, Diyi Yang, Yangfeng Ji, João Sedoc, Aman Madaan, Shailza Jolly, Saad Mahamood, Karmanya Aggarwal, Emiel van Miltenburg, Antoine Bosselut, Salomey Osei, Jiawei Zhou, Yufang Hou, Harsh Jhamtani, Niranjan Ramesh Rao, Anastasia Shimorina, Shashi Narayan, Akhila Yerukola, Nishant Subramani, Sebastian Gehrmann, Hendrik Strobelt, Khyathi Raghavi Chandu, Yacine Jernite, Tosin P. Adewumi, Mihir Kale, Khyati Mahajan, Andre Niyongabo Rubungo, Pedro Henrique Martins, Ondřej Dušek, Mounica Maddela
Publikováno v:
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩
Tilburg University-PURE
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 96-120
STARTPAGE=96;ENDPAGE=120;TITLE=Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩
Tilburg University-PURE
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), 96-120
STARTPAGE=96;ENDPAGE=120;TITLE=Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
International audience; We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of automated metrics, datasets, and human evaluation
Autor:
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander Rush, Thomas Wolf
The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc47917768bec7d75081411ab2887b40
Autor:
Angelina McMillan-Major, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann, Salomey Osei, Juan Diego Rodriguez, Yacine Jernite
Publikováno v:
Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021).
Developing documentation guidelines and easy-to-use templates for datasets and models is a challenging task, especially given the variety of backgrounds, skills, and incentives of the people involved in the building of natural language processing (NL