Publications (6)
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Boaz Shmueli, Jan Fell, Soumya Ray +1
The use of crowdworkers in NLP research is growing rapidly, in tandem with the exponential increase in research production in machine learning and AI. Ethical discussion regarding…
Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
Boaz Shmueli, Soumya Ray, Lun-Wei Ku
Datasets with induced emotion labels are scarce but of utmost importance for many NLP tasks. We present a new, automated method for collecting texts along with their induced reacti…
SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media
Boaz Shmueli, Lun-Wei Ku, Soumya Ray
We present an overview of the EmotionGIF2020 Challenge, held at the 8th International Workshop on Natural Language Processing for Social Media (SocialNLP), in conjunction with ACL…
Reactive Supervision: A New Method for Collecting Sarcasm Data
Boaz Shmueli, Lun-Wei Ku, Soumya Ray
Sarcasm detection is an important task in affective computing, requiring large amounts of labeled data. We introduce reactive supervision, a novel data collection method that utili…
Learning Bayesian Network Structure from Correlation-Immune Data
Eric Lantz, Soumya Ray, David Page
Searching the complete space of possible Bayesian networks is intractable for problems of interesting size, so Bayesian network structure learning algorithms, such as the commonly…
Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks
Isaac Filella-Merce, Alexis Molina, Marek Orzechowski +7
Traditional drug discovery programs are being transformed by the advent of machine learning methods. Among these, Generative AI methods (GM) have gained attention due to their abil…