236 citations · 241 across the 5 of their papers we have counts for
7 papers
Operationalizing AI for Good: Spotlight on Deployment and Integration of AI Models in Humanitarian Work
Anton Abilov, Ke Zhang, Hemank Lamba +3
Publications in the AI for Good space have tended to focus on the research and model development that can support high-impact applications. However, very few AI for Good papers dis…
NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
Antonia Karamolegkou, Angana Borah, Eunjung Cho +30
Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social G…
Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election
Roberto Mondini, Neema Kotonya, Robert L. Logan +8
Online reporting platforms have enabled citizens around the world to collectively share their opinions and report in real time on events impacting their local communities. Systemat…
Defining a New NLP Playground
Sha Li, Chi Han, Pengfei Yu +8
The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in…
Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
Zijian Ding, Alison Smith-Renner, Wenjuan Zhang +2
To explore how humans can best leverage LLMs for writing and how interacting with these models affects feelings of ownership and trust in the writing process, we compared common hu…
An Exploration of Post-Editing Effectiveness in Text Summarization
Vivian Lai, Alison Smith-Renner, Ke Zhang +4
Automatic summarization methods are efficient but can suffer from low quality. In comparison, manual summarization is expensive but produces higher quality. Can humans and AI colla…
Detecting Sarcasm in Multimodal Social Platforms
Rossano Schifanella, Paloma de Juan, Joel Tetreault +1
Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been appl…