no code implementations • 25 Apr 2024 • Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob Foerster
In the next few years, applications of Generative AI are expected to revolutionize a number of different areas, ranging from science & medicine to education.
1 code implementation • 18 Apr 2024 • Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Sujata Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
We created a new taxonomy of 13 hazard categories, of which 7 have tests in the v0. 5 benchmark.
no code implementations • 19 Feb 2024 • Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi
Domain experts across engineering, healthcare, and education follow strict standards for producing quality content such as technical manuals, medication instructions, and children's reading materials.
1 code implementation • arXiv 2023 • Stephen Mayhew, Terra Blevins, Shuheng Liu, Marek Šuppa, Hila Gonen, Joseph Marvin Imperial, Börje F. Karlsson, Peiqin Lin, Nikola Ljubešić, LJ Miranda, Barbara Plank, Arij Riabi, Yuval Pinter
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.
Ranked #1 on Named Entity Recognition (NER) on UNER v1 (Danish)
1 code implementation • 17 Oct 2023 • Joseph Marvin Imperial, Ekaterina Kochmar
Current research on automatic readability assessment (ARA) has focused on improving the performance of models in high-resource languages such as English.
1 code implementation • 1 Oct 2023 • Ma. Beatrice Emanuela Pilar, Ellyza Mari Papas, Mary Loise Buenaventura, Dane Dedoroy, Myron Darrel Montefalcon, Jay Rhald Padilla, Lany Maceda, Mideth Abisado, Joseph Marvin Imperial
Despite being one of the most linguistically diverse groups of countries, computational linguistics and language processing research in Southeast Asia has struggled to match the level of countries from the Global North.
1 code implementation • 11 Sep 2023 • Joseph Marvin Imperial, Harish Tayyar Madabushi
Readability metrics and standards such as Flesch Kincaid Grade Level (FKGL) and the Common European Framework of Reference for Languages (CEFR) exist to guide teachers and educators to properly assess the complexity of educational materials before administering them for classroom use.
1 code implementation • 22 May 2023 • Joseph Marvin Imperial, Ekaterina Kochmar
Consequently, when both linguistic representations are combined, we achieve state-of-the-art results for Tagalog and Cebuano, and baseline scores for ARA in Bikol.
1 code implementation • 11 Apr 2022 • Joseph Marvin Imperial, Harish Tayyar Madabushi
Large language models (LLMs) have shown promising results in a wide array of generative NLP tasks, such as summarization and machine translation.
1 code implementation • NAACL (BEA) 2022 • Lloyd Lois Antonie Reyes, Michael Antonio Ibañez, Ranz Sapinit, Mohammed Hussien, Joseph Marvin Imperial
In this study, we developed the first baseline readability model for the Cebuano language.
1 code implementation • CMCL (ACL) 2022 • Joseph Marvin Imperial
In this paper, we present a unified model that works for both multilingual and crosslingual prediction of reading times of words in various languages.
no code implementations • 1 Oct 2021 • Joseph Marvin Imperial, Ethel Ong
Readability assessment is the process of identifying the level of ease or difficulty of a certain piece of text for its intended audience.
no code implementations • 31 Jul 2021 • Joseph Marvin Imperial, Ethel Ong
In order to ensure quality and effective learning, fluency, and comprehension, the proper identification of the difficulty levels of reading materials should be observed.
no code implementations • 21 Jul 2021 • Joseph Marvin Imperial
One of the most important humanitarian responsibility of every individual is to protect the future of our children.
1 code implementation • RANLP 2021 • Joseph Marvin Imperial
Automatic readability assessment (ARA) is the task of evaluating the level of ease or difficulty of text documents for a target audience.
no code implementations • 12 Mar 2021 • Joseph Marvin Imperial, Ethel Ong
Assessing the proper difficulty levels of reading materials or texts in general is the first step towards effective comprehension and learning.
no code implementations • PACLIC 2020 • Clark Emmanuel Paulo, Arvin Ken Ramirez, David Clarence Reducindo, Rannie Mark Mateo, Joseph Marvin Imperial
The context-specific knowledge base developed from this study can be adapted by intelligent agents such as chat bots integrated in platforms such as Facebook Messenger for answering disaster-related queries.
no code implementations • 22 Jan 2021 • Joseph Marvin Imperial, Ethel Ong
Proper identification of grade levels of children's reading materials is an important step towards effective learning.
no code implementations • 3 Aug 2019 • Joseph Marvin Imperial, Jeyrome Orosco, Shiela Mae Mazo, Lany Maceda
The Philippines is a common ground to natural calamities like typhoons, floods, volcanic eruptions and earthquakes.