no code implementations • Findings (EMNLP) 2021 • Kyle Shaffer
Recent work in multilingual natural language processing has shown progress in various tasks such as natural language inference and joint multilingual translation.
1 code implementation • 13 Feb 2023 • Melissa Roemmele, Kyle Shaffer, Katrina Olsen, Yiyi Wang, Steve DeNeefe
The dataset captures passage-level alignments between the original and abridged texts.
no code implementations • WS 2017 • Lawrence Phillips, Kyle Shaffer, Dustin Arendt, Nathan Hodas, Svitlana Volkova
Language in social media is a dynamic system, constantly evolving and adapting, with words and concepts rapidly emerging, disappearing, and changing their meaning.
no code implementations • ACL 2017 • Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, Nathan Hodas
In this work we build predictive models to classify 130 thousand news posts as suspicious or verified, and predict four sub-types of suspicious news {--} satire, hoaxes, clickbait and propaganda.
no code implementations • 6 Nov 2016 • Ark Anderson, Kyle Shaffer, Artem Yankov, Court D. Corley, Nathan O. Hodas
In this paper we present a technique to train neural network models on small amounts of data.