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.

Due to the current situation, the seminar sessions this semester will be held remotely.

The preliminary meeting will be held on the first of February at 5 p.m on BigBlueButton.

Seminar Topics

1. Information Extraction
2. Dependency Parsing
3. Graph Representations
4. Ontology Learning
5. Embeddings
6. Sentiment Analysis
7. Argumentation Mining
8. Natural Language Generation
9. Chatbots
10. Summarization
11. NLG Evaluation
12. Author Obfuscation
13. Topic Modelling
14. Text Similarity
15. Attention Models

Weekly Sessions

Deliverables

Submissions