NLP-DR: Doing Research in Natural Language Processing

Timetable

Lecturers

• Frank Keller (course organiser)

• Hao Tang

• TA: Gautier Dagan

Learning Outcomes

On successful completion of this course, you should be able to: 

1. Critically read, assess, and synthesize scientific literature in natural language processing and related fields.
2. Identify new research questions in natural language processing and propose experimental, mathematical, or engineering methods to answer them.
3. Communicate research results in natural language processing orally to a scientific audience.
4. Communicate research results in natural language processing in writing to a scientific audience.

This course introduces critical skills needed to do research in natural language processing: identifying research questions; proposing methods to answer research questions; and communicating results orally and in writing to a scientific audience. The course emphasizes that NLP research draws on computational, mathematical, and linguistic perspectives to research, and exposes students to the key research skills from each of these perspectives.