Natural Language Processing (NLP) technology has made tremendous advances in the past few years. These advances have greatly powered improvements across various real-world applications, such as email smart compose, code generation (e.g., AlphaCode), chatbot (e.g., Amazon Alexa), drug discovery, or new material discovery. The last two applications are related to a promising subfield of NLP -- document processing. This seminar will cover the latest research in this domain. In this seminar, we will explore literature in this field, with a specific focus on scholarly document processing. We will talk about common NLP tasks in document processing; review existing methods and benchmarks; and investigate downstream applications of various document processing techniques.
- Dozent*in: Thomas Arnold
- Dozent*in: Yufang Hou