Natural Language Processing - Methods and Applications

People in organizations, society and institutions communicate via natural language. Typically, large amounts of unstructured information are stored in text documents. However, it is very challenging for machines to query relevant content fast and extract structured information.

Machine-based solutions for text analysis, indexing and generation are often summarized under the terms natural language processing, text mining or natural language generation. In the past decades, many different methods and solutions have been developed. The diversity of the different problems and the fast development of new technologies, e.g. machine learning, underline the large potential of these methods. 

The seminar aims to give an overview over the technological building blocks and their applications. The participants independently work on a scientific topic, based on existing literature and present and discuss their findings in a presentation and a seminar paper.

Important Dates

26.02.2019: Topic assignment

Seminar Topics

1. Pre-processing of Natural Language in Source-Code (Nicholas, Christof)
2. Context Aware Word Embedding (Hala, Ahmed)
3. Relation Extraction (Erik, Daniel)
4. Information Retrieval (Wenbin, Christof)
5. Efficient Document / Information Retrieval through nearest neighbor search (Jiaxi, Christof)
6. Readability (Anastasia, Daniel)
7. Text Simplification (Martin M., Daniel)
8. Natural Language Generation for Behaviour Change Support Systems (Wusheng, Daniel)
9. Conversational Interfaces (Nika, Daniel)
10. Evaluating NLG systems (Wei, Daniel)
11. Automatic Traceability Maintenance via NLP techniques (Mürüvvet, Christof)
12. Unsupervised Deep Learning for Translation (Wenjian, Ahmed)
13. Few-Shot Learning (Martin W., Ahmed)
14. Transfer Learning and domain adaptation for Deep Learning (Nino, Ahmed)
15. Multi-Task Deep Learning (Oktav, Ahmed)

Weekly Sessions

Delivarables

Submissions