Home > Knowledge Graph and Its Applications in NLP

Knowledge Graph and Its Applications in NLP

Start:

9/17/2020 at 3:55PM

End:

9/17/2020 at 5:10PM

Location:

(This seminar is a virtual talk)

Host:

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Meng Jiang

Meng Jiang

VIEW FULL PROFILE Email: mjiang2@nd.edu
Phone: 574-631-7454
Website: http://www.meng-jiang.com
Office: 326C Cushing Hall

Affiliations

College of Engineering Assistant Professor
Data science, user behavior modeling, recommender systems, fraud detection, information extraction
Click for more information about Meng
574-631-7454
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Knowledge graph (KG) can provide external information in a structured way. It can boost NLP models' capability to understand entity and relations, and facilitate efficient domain adaptation during customization. In this talk, I will introduce the concept of KG, how to build and use KG in various applications such as KG-text co-pretraining and factual correctness in summarization.

Seminar Speaker:

Chenguang Zhu

Chenguang Zhu

Dr. Chenguang Zhu is a Principal Researcher in Microsoft Cognitive Services Research Group. His research in NLP covers knowledge graph, text summarization and task-oriented dialogue, with publications in top venues (e.g. ACL, EMNLP, NAACL, ICLR) and 1000+ citations. He holds a Ph.D. degree in Computer Science from Stanford University.