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Natural Language Processing - Methods and Applications

Last modified Jun 4
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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

Until 31.03.2018: Meet with your advisor

11.04.2018 - 30.05.2018, 12:00 - 14:00: Weekly sessions

 

Seminar Topics

  1. Pre-processing & Word Embeddings (Siddhesh, Jörg)
  2. Ontologies & Label Propagation (Shivendu, Jörg)
  3. Information Extraction & Markov Logic Networks (Mainak, Jörg)
  4. Sentiment Analysis (Aser, Daniel)
  5. Natural Language Generation (Sumit, Daniel)
  6. Text Summarization (Yannick, Daniel)
  7. Text Simplification (Honglin, Daniel)
  8. Auto-Encoder (Shivangi, Ahmed)
  9. GANs (Aamna, Ahmed)
  10. Multi-Task Deep Learning (Juanita, Ahmed)
  11. Transfer Learning and domain adaptation for Deep Learning (Chinmay, Ahmed)
  12. End-to-end Learning (Min-An, Ahmed)
  13. Deep Learning Sequence Modeling (Neha, Ahmed)
  14. Natural Language Generation for Dialog Systems (Kira, Daniel)
  15. Classification & Explainable AI (Valeriya, Jörg)

 

Weekly Sessions

Session Date Topic Room
-1

01.02.2018

17:00 - 18:00

Preliminary Meeting FMI 01.10.11
0

01.03.2018

17:00 - 18:00

Topic assignment

Organization

FMI 01.10.11
 

until 31.03.2018

Meeting with advisor  
1

11.04.2018

12:00 - 14:00

- NLP Introduction

- Pre-processing & Word Embeddings

FMI 01.10.11
2

18.04.2018

12:00 - 14:00

- Ontologies & Label Propagation

- Information Extraction & Markov Logic Networks

 FMI 01.10.11
3

25.04.2018

12:00 - 14:00

- Sentiment Analysis

- Natural Language Generation

 FMI 01.12.35
4

02.05.2018

12:00 - 14:00

- Text Summarization

- Text Simplification

 FMI 01.10.11
5

09.05.2018

12:00 - 14:00

- Auto-Encoder

- GANs

 FMI 01.10.11
6

16.05.2018

12:00 - 14:00

- Multi-Task Deep Learning

- Transfer Learning and domain adaptation for Deep Learning

 FMI 01.10.11
7

23.05.2018

12:00 - 14:00

- End-to-end Learning

- Deep Learning Sequence Modeling

 FMI 01.10.11
8 30.05.2018

12:00 - 14:00

- Natural Language Generation for Dialog Systems

- Classification & Explainable AI

 FMI 01.10.11

 

Submissions

Deliverable

Deadline

Format

Final presentation slides

Before your talk

Powerpoint, Keynote or PDF

Seminar paper for peer review

Sunday, 17.06.2018 23:59

PDF based on provided LaTex template

Peer review

Sunday, 24.06.2018 23:59

txt-File

Revised seminar paper

Sunday, 01.07.2018 23:59

PDF based on provided LaTex template

Files and Subpages

There are no subpages or files.