Publications

PhD thesis

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

Journal papers

2019

  • Heike Adel, Francine Chen and Yan-Ying Chen, "Tackling Challenges of Neural Purchase Stage Identification from Imbalanced Twitter Data ", accepted to appear in NLE 2019. pdf
  • Heike Adel and Hinrich Schütze, "Type-aware Convolutional Neural Networks for Slot Filling", in JAIR 2019, volume 66, pp. 297-339. pdf

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

  • Jannik Strötgen, Trung Kien Tran, Annemarie Friedrich, Dragan Milchevski, Federico Tomazic, Anika Marusczyk, Heike Adel, Daria Stepanova, Felix Hildebrand and Evgeny Kharlamov, "Towards the Bosch Materials Science Knowledge Base ", accepted to appear in ISWC Industry proceedings 2019.
  • Lukas Lange, Heike Adel and Jannik Strötgen, "NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification", in IberLEF 2019. pdf
  • 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