Heike Adel

Research interests

- Deep Learning (esp. Convolutional Neural Networks, Recurrent Neural Networks)

- Multitask Learning and Transfer Learning

- Relation Extraction

- Knowledge Base Population

- Word Embeddings

I am a research scientist at Bosch Center for Artificial Intelligence (BCAI).

Before that, I was a postdoctoral researcher in Sebastian Padó's group at the Institute for Natural Language Processing (IMS) at University of Stuttgart.

Before that, I completed my PhD in computer science at the Center for Information and Language Processing (CIS) at LMU Munich, under the supervision of Hinrich Schütze.

During my PhD, I was a recipient of the Google European Doctoral Fellowship in Natural Language Processing.


Contact: firstname.lastname at gmail dot com

Teaching

2019 at University of Zurich:

  • Lecture: Deep Learning in der Computerlinguistik

2018 - 2019 at University of Stuttgart:

  • Lecture: Deep Learning for Speech and Language Processing (in corporation with Thang Vu)
  • Lecture: Programmierung für die Maschinelle Sprachverarbeitung
  • Seminar: Deep Learning for Knowledge Bases
  • Supervision of two Bachelor and two Master theses

2014 - 2015 at LMU Munich:

  • Exercises: Computerlinguistische Anwendungen
  • Exercises: Einführung in die Computerlinguistik
  • Exercises: Information Retrieval
  • Supervision of four Bachelor and two Master theses

Publications

PhD thesis

  • Heike Adel, "Deep Learning Methods for Knowledge Base Population", PhD thesis at LMU Munich 2018. pdf

Journal papers

2019

  • Heike Adel and Hinrich Schütze, "Type-aware Convolutional Neural Networks for Slot Filling", accepted to appear in JAIR.

2018

  • Yadollah Yaghoobzadeh, Heike Adel and Hinrich Schütze, "Corpus-Level Fine-Grained Entity Typing", in JAIR 2018, volume 61, pp. 835-862. pdf

2015

  • Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, Dominic Telaar and Tanja Schultz, "Syntactic and Semantic Features for Code-Switching Factored Language Models", in TASL 2015, volume 23, pp. 431-440. pdf preprint

Conference papers

2019

  • Katrin Angerbauer, Heike Adel and Ngoc Thang Vu, "Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience", accepted to appear at InterSpeech 2019.
  • Apostolos Kemos, Heike Adel and Hinrich Schütze, "Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging", in NAACL 2019. pdf preprint
  • Robert McHardy, Heike Adel and Roman Klinger, "Adversarial Training for Satire Detection: Controlling for Confounding Variables", in NAACL 2019. pdf preprint

2018

  • Heike Adel, Laura Bostan, Sean Papay, Sebastian Padó and Roman Klinger, "DeRE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction", in EMNLP System Demonstrations 2018. pdf

2017

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

2016

  • Heike Adel, Benjamin Roth and Hinrich Schütze, "Comparing Convolutional Neural Networks to Traditional Models for Slot Filling", in NAACL 2016. pdf preprint resources
  • Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze, "Combining Recurrent and Convolutional Neural Networks for Relation Classification", in NAACL 2016. pdf preprint
  • Ngoc Thang Vu, Pankaj Gupta, Heike Adel and Hinrich Schütze, "Bi-directional Recurrent Neural Network with Ranking Loss for Spoken Language Understanding", in ICASSP 2016. pdf

2015

  • Heike Adel and Hinrich Schütze, "CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling", in TAC 2015. pdf

2014

  • Heike Adel and Hinrich Schütze, "TAC KBP 2014 Slot Filling Shared Task: Baseline System for Investigating Coreference", in TAC 2014. pdf
  • Heike Adel and Hinrich Schütze, "Using Mined Coreference Chains as a Resource for a Semantic Task", in EMNLP 2014. pdf poster resources
  • Heike Adel, Dominic Telaar, Ngoc Thang Vu, Katrin Kirchhoff and Tanja Schultz, "Combining Recurrent Neural Networks and Factored Language Models During Decoding of Code-Switching Speech", in Interspeech 2014. pdf
  • Heike Adel, Katrin Kirchhoff, Ngoc Thang Vu, Dominic Telaar and Tanja Schultz, "Comparing Approaches to Convert Recurrent Neural Networks into Backoff Language Models for Efficient Decoding", in Interspeech 2014. pdf
  • Heike Adel, Katrin Kirchhoff, Dominic Telaar, Ngoc Thang Vu, Tim Schlippe and Tanja Schultz, "Features for Factored Language Models for Code-Switching Speech", in SLTU 2014. pdf

2013

  • Heike Adel, Ngoc Thang Vu and Tanja Schultz, "Combination of Recurrent Neural Networks and Factored Language Models for Code-Switching Language Modeling", in ACL 2013. pdf
  • Ngoc Thang Vu, Heike Adel and Tanja Schultz, "An Investigation of Code-Switching Attitude Dependent Language Modeling", in SLSP 2013. pdf
  • Heike Adel, Ngoc Thang Vu, Franziska Kraus, Tim Schlippe, Haizhou Li and Tanja Schultz, "Recurrent Neural Network Language Modeling for Code-Switching Conversational Speech", in ICASSP 2013. pdf

2012

  • Heike Adel, Kevin Kilgour, Sebastian Stüker, Alex 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. pdf