Liang, Yingyu

Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis

Sun, Z., Sarma, P., Sethares, W., & Liang, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 410

A Latent Variable Model Approach to PMI-based Word Embeddings

Arora, S., Li, Y., Liang, Y., Ma, T., & Risteski, A. (2016) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 286

Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Arora, S., Li, Y., Liang, Y., Ma, T., & Risteski, A. (2018) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 186

A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors

Khodak, M., Saunshi, N., Liang, Y., Ma, T., Stewart, B., & Arora, S. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 111

Generalizing Word Embeddings using Bag of Subwords

Zhao, J., Mudgal, S., & Liang, Y. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 53