Literature review for NLP

Course

URL study guide

https://studiegids.vu.nl/en/courses/2024-2025/L_AAMPLIN034

Course Objective

Natural language processing is a rapidly advancing research field and new models are being developed every month. In this course, students acquire skills to search, process, and describe the relevant literature for an NLP topic. The goal of this course is that students develop a literature overview for the NLP topic that they will address in their thesis.

Course Content

NLP follows extremely fast publication cycles with a constant stream of new research papers being published. In addition to peer-reviewed conference proceedings, uncurated platforms such as arXiv or open-review are playing an increasing role in the development of the field. Students learn to critically reflect on research papers, assess their relevance for the topic, and develop a structure to present related work to the reader. They are able to distinguish between compressed related work sections in technical papers and the more extensive and explanatory related work chapter of a thesis. They acquire skills to concisely define the most relevant terms for their thesis based on the literature and use them consistently.

Teaching Methods

This is an interactive tutorial. At the beginning, students will be introduced to the most relevant best practices of the field. In the following, students get writing assignments, exchange peer feedback, and discuss the lessons learned with the guidance of the teacher.

Method of Assessment

The course requires active participation in writing assignments and peerfeedback. The final grade will be determined by a literature overviewtargeted to the individual thesis topics. It will be expressed aspass/fail.

Target Audience

This course is for Research Master students with the specialization "Human Language Technology"

Recommended background knowledge

This course targets 2nd-year Master students who write their thesis on an NLP topic. They should have acquired background knowledge on Machine Learning (e.g., as in the course "Machine Learning for NLP) and on using NLP methods and conducting NLP experiments (e.g., "Introduction to Human Language Technology", "NLP Technology")
Academic year1/09/2431/08/25
Course level3.00 EC

Language of Tuition

  • English

Study type

  • Master