Embedding Analysis and Learning

This project delves into the utilization of embeddings in neural networks with the goal of comprehending and enhancing their representations and their applicability across various tasks.

This project is funded by:

• Alexa Prize Socialbot Grand Challenge 3 (09/2019 ~ 05/2020)

Director

• Jinho Choi - Associate Professor at Emory University

Publications

1. Enhancing Cognitive Models of Emotions with Representation Learning. Guo, Y.; and Choi, J. D. Proceedings of the NAACL Workshop on Cognitive Modeling and Computational Linguistics (CMCL) 2021.
   
2. Incremental Sense Weight Training for In-depth Interpretation of Contextualized Word Embeddings. Jiang, X.; Yang, Z.; and Choi, J. D. Proceedings of the AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program (AAAI:SAP), 2020.
   
3. The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. Shin, B.; Yang, H.; and Choi, J. D. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2019.
   
4. Intrinsic and Extrinsic Evaluations of Word Embeddings. Zhai, M.; Tan, J.; and Choi, J. D. Proceedings of the AAAI Conference on Artificial Intelligence: Student Abstract and Poster Program (AAAI:SAP), 2016.