Search Results for author:
Found 10 papers, 2 papers with code
Reactive Supervision: A New Method for Collecting Sarcasm Data
Sarcasm detection is an important task in affective computing, requiring large amounts of labeled data.
Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
We show how to augment the data with induced emotion and induced sentiment labels.
Bayesian Hierarchical Reinforcement Learning
We describe an approach to incorporating Bayesian priors in the maxq framework for hierarchical reinforcement learning (HRL).
Hierarchical Reinforcement Learning
reinforcement-learning
+1
Multiple-Instance Active Learning
In particular, we consider the case in which an MI learner is allowed to selectively query unlabeled instances in positive bags.
SocialNLP EmotionGIF 2020 Challenge Overview: Predicting Reaction GIF Categories on Social Media
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 2020.
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
Ethical discussion regarding the use of crowdworkers within the NLP research community is typically confined in scope to issues related to labor conditions such as fair pay.
Hybrid Semantics for Goal-Directed Natural Language Generation
In particular, we consider using two meaning representations, one based on logical semantics and the other based on distributional semantics.
Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks
To improve the applicability domain of GM methods, we have developed a workflow based on a variational autoencoder coupled with active learning steps.
