Natural Language Processing

In Natural Language Processing (NLP), we focus on how computers understand and interact with humans through natural conversation and text. We develop new NLP methods for collecting, processing, analyzing and understanding large amounts of natural language data for diverse applications such as intelligent conversational assistants, natural language search, document intelligence and knowledge acquisition.  

Our research projects span natural language understanding, dialogue systems, document semantics and affect understanding, document re-synthesis, text-mining, structured information extraction, knowledge acquisition and representation, joint language and vision-based understanding of images and videos, deep learning, and the use of natural language for computational creativity.  Our work includes efforts in intelligent assistants, multimodal search, document understanding, content generation, affect modelling, and multimodal content synthesis.  

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Sungchul Kim

Senior Research Scientist

Yuheng Li

Research Scientist

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ChartLens: Fine-grained Visual Attribution in Charts

Suri, M., Mathur, P., Lipka, N., Dernoncourt, F., Rossi, R., Manocha, D. (Aug. 1, 2025)

ACL 2025

From Selection to Generation: A Survey of LLM-based Active Learning

Xia, Y., Mukherjee, S., Xie, Z., Wu, J., Li, X., Aponte, R., Lyu, H., Barrow, J., Chen, H., Dernoncourt, F., Kveton, B., Yu, T., Zhang, R., Gu, J., Ahmed, N., Wang, Y., Chen, X., Deilamsalehy, H., Kim, S., Hu, Z., Zhao, Y., Lipka, N., Yoon, D., Huang, T., Wang, Z., Mathur, P., Pal, S., Mukherjee, K., Zhang, Z., Park, N., Nguyen, T., Luo, J., Rossi, R., McAuley, J. (Aug. 1, 2025)

ACL 2025

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases

Lei, Y., Han, H., Rossi, R., Dernoncourt, F., Lipka, N., Halappanavar, M., Tang, J., Wang, Y. (Aug. 1, 2025)

ACL 2025 Findings

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We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!