Quality and Usability Seminar

The aim of this seminar is to introduce natural language processing, which is commonly used to improve human communication with machines, to students from a practical perspective. This course will not contain heavy details about machine learning; rather, we focus on NLP applications and the state-of-the-art models which are commonly used in different tasks.

We cover the following topics: text classification, topic modeling, named entity recognition, machine translation, sign language technologies, information retrieval and search engines, relation extraction, semantic text similarity, text summarization, and chatbots.

During this course, each student chooses one NLP application as the topic of presentation. You should learn about the task. In your presentation, you should explain the task, its applications, and the state-of-the-art methods in the task. You can also present and compare the top available datasets for the task. Finally, you need to deliver a short report. The final evaluation will be based on the presentations (60%) and the short report (40%).

We provide an introduction to natural language processing and fundamental topics during the first sessions.