Heike Adel

Heike Adel

Heike Adel
Phone +49 711 685-81356
Universität Stuttgart
Institut für Maschinelle Sprachverarbeitung
Pfaffenwaldring 5 b
70569 Stuttgart

For the most recent information, please have a look at my website.


Research interests:

  • Deep Learning (esp. Convolutional Neural Networks, Recurrent Neural Networks)
  • Multitask Training and Transfer Learning
  • Relation Extraction
  • Knowledge Base Population
  • Word Embeddings



SS 2019 (UZH)
Lecture: "Deep Learning in Computational Linguistics"

WS 2018/2019
Lecture: "Programming for Language Processing"
Lecture: "Deep Learning for Speech and Language Processing"

SS 2018
Seminar: "Deep Learning for Knowledge Bases" (Link: Ilias)

SS 2015 (LMU)
Exercises: "Applications of Computational Linguistics"

WS 2014/2015 (LMU)
Exercises: "Introduction to Computational Linguistics"

SS 2014 (LMU)
Exercises: "Information Retrieval"

Theses Supervision
I offer Bachelor and Master theses in the areas of information extraction and deep learning for NLP.
Please contact me via email if you are interested.

Supervised Theses

- Investigating the Effect of Different Input Representations on Relation Classification [BA]
- Investigating Different Levels of Joining Entity and Relation Classification [BA]
- Analyzing Different Strategies of Classifier Combination for Sentiment Analysis [MA]
- Exploring Simplified Subtitles to Support Spoken Language Understanding [MA]

2017 (LMU)
- Character-based Relation Classification for Slot Filling [MA]

2016 (LMU)
- Exploring Strategies for Multiclass Classification in the Context of a Slot Filling System [BA]
- Exploring Strategies to Combine the Results of Different Classifiers [BA]

2015 (LMU)
- Deep Learning Methods for the Extraction of Relations in Natural Language Text [MA]
- Slot Filling based on Open Relation Extraction [BA]
- Exploration of Linguistic Features for Relation Classification [BA]


- A. Kemos, H. Adel, H. Schütze, "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging", accepted to appear at NAACL 2019.
- R. McHardy, H. Adel and R. Klinger, "Adversarial Training for Satire Detection: Controlling for Confounding Variables", accepted to appear at NAACL 2019.
- H. Adel and H. Schütze, "Type-aware Convolutional Neural Networks for Slot Filling", accepted to appear in JAIR.

- H. Adel, L. Bostan, S. Papay, S. Padó and R. Klinger, "DeRE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction", in EMNLP System Demonstrations 2018.
- H. Adel, "Deep Learning Methods for Knowledge Base Population", PhD thesis at LMU Munich. pdf link
- Y. Yaghoobzadeh, H. Adel and H. Schütze, "Corpus-Level Fine-Grained Entity Typing", in JAIR, volume 61. pdf preprint

- H. Adel and H. Schütze, "Impact of Coreference Resolution on Slot Filling", arXiv abs:1710.09753. preprint
- H. Adel and H. Schütze, "Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification", in EMNLP 2017. pdf preprint resources
- H. Adel, E. Asgari and H. Schütze, "Overview of Character-Based Models for Natural Language Processing", in CICLing 2017, LNCS, Springer.
- H. Schütze, H. Adel and E. Asgari, "Nonsymbolic Text Representation", arXiv abs:1610.00479. preprint
- H. Adel, F. Chen and Y. Chen, "Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data", in EACL 2017. pdf
- H. Adel and H. Schütze, "Exploring Different Dimensions of Attention for Uncertainty Detection", in EACL 2017. pdf preprint resources
- Y. Yaghoobzadeh*, H. Adel* and H. Schütze, "Noise Mitigation for Neural Entity Typing and Relation Extraction", in EACL 2017. pdf preprint

- H. Adel, B. Roth and H. Schütze, "Comparing Convolutional Neural Networks to Traditional Models for Slot Filling", in NAACL 2016. pdf preprint resources
- N.T. Vu, H. Adel, P. Gupta and H. Schütze, "Combining Recurrent and Convolutional Neural Networks for Relation Classification", in NAACL 2016. pdf preprint
- N.T. Vu, P. Gupta, H. Adel and H. Schütze, "Bi-directional Recurrent Neural Network with Ranking Loss for Spoken Language Understanding", in ICASSP 2016.

- H. Adel and H. Schütze, "CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling", in TAC 2015. preprint
- H. Adel, N.T. Vu, K. Kirchhoff, D. Telaar and T. Schultz, "Syntactic and Semantic Features for Code-Switching Factored Language Models", in TASL 2015, volume 23. pdf preprint

- H. Adel and H. Schütze, "TAC KBP 2014 Slot Filling Shared Task: Baseline System for Investigating Coreference", in TAC 2014.
- H. Adel and H. Schütze, "Using Mined Coreference Chains as a Resource for a Semantic Task", in EMNLP 2014. pdf poster
- H. Adel, D. Telaar, N.T. Vu, K. Kirchhoff and T. Schultz, "Combining Recurrent Neural Networks and Factored Language Models During Decoding of Code-Switching Speech", in Interspeech 2014.
- H. Adel, K. Kirchhoff, N.T. Vu, D. Telaar and T. Schultz, "Comparing Approaches to Convert Recurrent Neural Networks into Backoff Language Models for Efficient Decoding", in Interspeech 2014.
- H. Adel, K. Kirchhoff, D. Telaar, N.T. Vu, T. Schlippe and T. Schultz, "Features for Factored Language Models for Code-Switching Speech", in SLTU 2014.

- H. Adel, N.T. Vu and T. Schultz, "Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling", in ACL 2013.
- N.T. Vu, H. Adel and T. Schultz, "An Investigation of Code-Switching Attitude Dependent Language Modeling", in SLSP 2013.
- H. Adel, N.T. Vu, F. Kraus, T. Schlippe, H. Li and T. Schultz, "Recurrent Neural Network Language Modeling for Code-Switching Conversational Speech", in ICASSP 2013.

- H. Adel, K. Kilgour, S. Stüker, A. Waibel, "Automatische Zeichensetzung in Spracherkennungssystemen: Entscheidungsbaum und Sprachmodell im Vergleich" ("Automatic Punctuation in Speech Recognition Systems: Comparing Decision Trees and Language Models"), in ESSV 2012.