1 code implementation • NAACL (DaSH) 2021 • Rebecca Iglesias-Flores, Megha Mishra, Ajay Patel, Akanksha Malhotra, Reno Kriz, Martha Palmer, Chris Callison-Burch
Acquiring training data for natural language processing systems can be expensive and time-consuming.
no code implementations • LREC 2022 • Anietie Andy, Reno Kriz, Sharath Chandra Guntuku, Derry Tanti Wijaya, Chris Callison-Burch
While popular Television (TV) shows are airing, some users interested in these shows publish social media posts about the show.
no code implementations • 15 Oct 2024 • Reno Kriz, Kate Sanders, David Etter, Kenton Murray, Cameron Carpenter, Kelly Van Ochten, Hannah Recknor, Jimena Guallar-Blasco, Alexander Martin, Ronald Colaianni, Nolan King, Eugene Yang, Benjamin Van Durme
Efficiently retrieving and synthesizing information from large-scale multimodal collections has become a critical challenge.
no code implementations • 7 Oct 2024 • Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme
How are we able to learn about complex current events just from short snippets of video?
no code implementations • 6 Jul 2023 • Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme
Everyday news coverage has shifted from traditional broadcasts towards a wide range of presentation formats such as first-hand, unedited video footage.
1 code implementation • 19 Dec 2022 • William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White
As information extraction (IE) systems have grown more adept at processing whole documents, the classic task of template filling has seen renewed interest as benchmark for document-level IE.
no code implementations • 6 Oct 2022 • Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
However, humans are frequently presented with visual data that they cannot classify with 100% certainty, and models trained on standard vision benchmarks achieve low performance when evaluated on this data.
no code implementations • 22 Jun 2022 • Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Štajner, Sebastien Montella, Shailza, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin Adewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou
This problem is especially pertinent in natural language generation which requires ever-improving suites of datasets, metrics, and human evaluation to make definitive claims.
no code implementations • 16 Mar 2022 • Anietie Andy, Siyi Liu, Daphne Ippolito, Reno Kriz, Chris Callison-Burch, Derry Wijaya
While popular televised events such as presidential debates or TV shows are airing, people provide commentary on them in real-time.
1 code implementation • EMNLP 2021 • Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch
We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited.
no code implementations • 22 Dec 2020 • Reno Kriz, Marianna Apidianaki, Chris Callison-Burch
Text simplification systems generate versions of texts that are easier to understand for a broader audience.
1 code implementation • ACL 2019 • Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, Chris Callison-Burch
While conditional language models have greatly improved in their ability to output high-quality natural language, many NLP applications benefit from being able to generate a diverse set of candidate sequences.
2 code implementations • NAACL 2019 • Reno Kriz, João Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch
Sentence simplification is the task of rewriting texts so they are easier to understand.
Ranked #4 on
Text Simplification
on Newsela
no code implementations • ACL 2018 • John Hewitt, Daphne Ippolito, Brendan Callahan, Reno Kriz, Derry Tanti Wijaya, Chris Callison-Burch
To facilitate research on the task, we introduce a large-scale multilingual corpus of images, each labeled with the word it represents.
no code implementations • NAACL 2018 • Reno Kriz, Eleni Miltsakaki, Marianna Apidianaki, Chris Callison-Burch
Lexical simplification involves identifying complex words or phrases that need to be simplified, and recommending simpler meaning-preserving substitutes that can be more easily understood.