M
Marco Antonio Sobrevilla Cabezudo
Researcher at University of São Paulo
Publications - 30
Citations - 239
Marco Antonio Sobrevilla Cabezudo is an academic researcher from University of São Paulo. The author has contributed to research in topics: Natural language generation & Brazilian Portuguese. The author has an hindex of 7, co-authored 27 publications receiving 153 citations. Previous affiliations of Marco Antonio Sobrevilla Cabezudo include Pontifical Catholic University of Peru & Spanish National Research Council.
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
Sebastian Gehrmann,Tosin P. Adewumi,Karmanya Aggarwal,Pawan Sasanka Ammanamanchi,Aremu Anuoluwapo,Antoine Bosselut,Khyathi Raghavi Chandu,Miruna Clinciu,Dipanjan Das,Kaustubh Dhole,Wanyu Du,Esin Durmus,Ondřej Dušek,Chris Chinenye Emezue,Varun Gangal,Cristina Garbacea,Tatsunori Hashimoto,Yufang Hou,Yacine Jernite,Harsh Jhamtani,Yangfeng Ji,Shailza Jolly,Mihir Kale,Dhruv Kumar,Faisal Ladhak,Aman Madaan,Mounica Maddela,Khyati Mahajan,Saad Mahamood,Bodhisattwa Prasad Majumder,Pedro Henrique Martins,Angelina McMillan-Major,Simon Mille,Emiel van Miltenburg,Moin Nadeem,Shashi Narayan,Vitaly Nikolaev,Rubungo Andre Niyongabo,Salomey Osei,Ankur P. Parikh,Laura Perez-Beltrachini,Niranjan Ramesh Rao,Vikas Raunak,Juan Diego Rodriguez,Sashank Santhanam,João Sedoc,Thibault Sellam,Samira Shaikh,Anastasia Shimorina,Marco Antonio Sobrevilla Cabezudo,Hendrik Strobelt,Nishant Subramani,Wei Xu,Diyi Yang,Akhila Yerukola,Jiawei Zhou +55 more
TL;DR: GEM as discussed by the authors is a living benchmark for natural language generation (NLG), its Evaluation and Metrics, which provides an environment in which models can easily be applied to a wide set of tasks and in which evaluation strategies can be tested.
Proceedings ArticleDOI
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann,Tosin P. Adewumi,Karmanya Aggarwal,Pawan Sasanka Ammanamanchi,Anuoluwapo Aremu,Antoine Bosselut,Khyathi Raghavi Chandu,Miruna-Adriana Clinciu,Dipanjan Das,Kaustubh Dhole,Wanyu Du,Esin Durmus,Ondřej Dušek,Chris Chinenye Emezue,Varun Gangal,Cristina Garbacea,Tatsunori Hashimoto,Yufang Hou,Yacine Jernite,Harsh Jhamtani,Yangfeng Ji,Shailza Jolly,Mihir Kale,Dhruv Kumar,Faisal Ladhak,Aman Madaan,Mounica Maddela,Khyati Mahajan,Saad Mahamood,Bodhisattwa Prasad Majumder,Pedro Henrique Martins,Angelina McMillan-Major,Simon Mille,Emiel van Miltenburg,Moin Nadeem,Shashi Narayan,Vitaly Nikolaev,Andre Niyongabo Rubungo,Salomey Osei,Ankur P. Parikh,Laura Perez-Beltrachini,Niranjan Ramesh Rao,Vikas Raunak,Juan Diego Rodriguez,Sashank Santhanam,João Sedoc,Thibault Sellam,Samira Shaikh,Anastasia Shimorina,Marco Antonio Sobrevilla Cabezudo,Hendrik Strobelt,Nishant Subramani,Wei Xu,Diyi Yang,Akhila Yerukola,Jiawei Zhou +55 more
TL;DR: GEM as discussed by the authors is a living benchmark for natural language generation (NLG), its Evaluation and Metrics, which provides an environment in which models can easily be applied to a wide set of tasks and in which evaluation strategies can be tested.
Book ChapterDOI
A Study of Abstractive Summarization Using Semantic Representations and Discourse Level Information
TL;DR: A conceptual graph was built using some lexical resources and Abstract Meaning Representation (AMR) and PageRank algorithm to get the most relevant concepts and discursive information was incorporated into the PageRank to improve the relevant concepts identification.
Overview of TASS 2020: Introducing Emotion Detection
Manuel García Vega,Manuel Carlos Díaz-Galiano,Miguel Ángel García Cumbreras,Flor Miriam Plaza del Arco,Arturo Montejo-Ráez,Salud M. Jiménez Zafra,Eugenio Martínez Cámara,César Antonio Aguilar,Marco Antonio Sobrevilla Cabezudo,Luis Chiruzzo,Daniela Moctezuma +10 more
TL;DR: This paper summarizes the different approaches of the teams who participated, the key insights of their systems and the results obtained for all the proposed solutions.
Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus.
Manuel Carlos Díaz-Galiano,Manuel García Vega,Edgar Casasola,Luis Chiruzzo,Miguel Ángel García Cumbreras,Eugenio Martínez Cámara,Daniela Moctezuma,Arturo Montejo-Ráez,Marco Antonio Sobrevilla Cabezudo,Eric Sadit Tellez,Mario Graff,Sabino Miranda-Jiménez +11 more
TL;DR: This paper summarizes the approaches and the results of the submitted systems of the different groups for each task in the TASS workshop, and proposes a new approach to sentiment analysis at tweet level.