Prof. Dr. Margot Mieskes

• I will give a lecture at the Summer School "New Frontiers in Social Media Research"

Currently, I am involved in two research projects:

• AIPHES
• PARANOIA

My research interests are in using natural language processing (NLP) in other research areas. Specifically, I have worked in the following areas:

• summarization
• quality of summarization and evaluation
• emotion detection/sentiment analysis
• speech recognition
• speech synthesis

2017

Margot Mieskes

A Quantitative Study of Data in the NLP community

Proceedings of the First ACL Workshop on Ethics in Natural Language Processing

PDF

2016

Darina Benikova and Margot Mieskes and Christian M. Meyer and Iryna Gurevych

Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources

Booktitle:  Proceedings of the 26th International Conference on Computational Linguistics (2016)

Website:   https://github.com/AIPHES/DBS 

Link:          http://www.ukp.tu-darmstadt.de/"https://github.com/AIPHES/DBS\ 

PDF:          PDF

Christian M. Meyer and Darina Benikova and Margot Mieskes and Iryna Gurevych

Annotation tool for creating high-quality multi-document summarization corpora (2016)

Booktitle:  Proceedings of the 54th Annual Meeting of the Association for Computational  

Website: https://github.com/UKPLab/mdswriter

PDF:        PDF
 

Steffen Remus and Gerold Hintz and Darina Benikova and Thomas Arnold and Judith Eckle-Kohler and Christian M. Meyer and Margot Mieskes and ChrisBiemann

EmpiriST: AIPHES Robust Tokenization and POS-Tagging for Different Genres
Booktitle:  Proceedings of the 10th Web as Corpus Workshop (WAC-X)

  PDF

2015

Tahir Sousa and Lucie Flekova and Margot Mieskes and Iryna Gurevych

Constructive Feedback, Thinking Process and Cooperation: Assessing the  Quality of Classroom Interaction (2015)

Booktitle:  Proceedings of INTERSPEECH Conference  

Website:    https://github.com/UKPLab/jlcl2015-pythagoras

Link:           http://www.ukp.tu-darmstadt.de/"https://github.com/UKPLab/jlcl2015-pythagoras\ 

PDF:           PDF  PDF_2