Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Julian Risch

Former Ph.D. student at the Information Systems Group and a member of the HPI Research School. My research focuses on topic modeling and deep learning with applications in the field of text mining, in particular, comment analysis. Further, I am involved in projects on patent classification and book recommendation. Source code and datasets of my publications can be found here and on GitHub.

Contact Information

Email: Julian Risch

Teaching

Advised Master's Theses

  • Multifaceted Domain-Specific Document Embeddings
  • Modeling News Commenters for Discussion Recommendation
  • Jointly Learning Document and Label Embeddings for Hierarchically Labeled Text
  • Context-aware Classification of News Comments
  • Quality Management for Online News Comments 

Publications

  • PatentMatch: A Dataset fo... - Download
    1.
    Risch, J., Alder, N., Hewel, C., Krestel, R.: PatentMatch: A Dataset for Matching Patent Claims & Prior Art. Proceedings of the 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech@SIGIR) (2021).
     
  • Multifaceted Domain-Speci... - Download
    2.
    Risch, J., Hager, P., Krestel, R.: Multifaceted Domain-Specific Document Embeddings. Proceedings of the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)(NAACL). ACL (2021).
     
  • ComEx: Comment Exploratio... - Download
    3.
    Risch, J., Repke, T., Kohlmeyer, L., Krestel, R.: ComEx: Comment Exploration on Online News Platforms. Joint Proceedings of the ACM IUI 2021 Workshops co-located with the 26th ACM Conference on Intelligent User Interfaces (IUI). bll. 1–7. CEUR-WS.org (2021).
     
  • Data Integration for Toxi... - Download
    4.
    Risch, J., Schmidt, P., Krestel, R.: Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format. Proceedings of the Workshop on Online Abuse and Harms (WOAH@ACL). bll. 157–163 (2021).
     
  • Toxic Comment Detection i... - Download
    5.
    Risch, J., Krestel, R.: Toxic Comment Detection in Online Discussions. In: Agarwal, B., Nayak, R., Mittal, N., en Patnaik, S. (reds.) Deep Learning-Based Approaches for Sentiment Analysis. bll. 85–109. Springer (2020).
     
  • PatentMatch: A Dataset fo... - Download
    6.
    Risch, J., Alder, N., Hewel, C., Krestel, R.: PatentMatch: A Dataset for Matching Patent Claims with Prior Art. ArXiv e-prints 2012.13919. (2020).
     
  • HyCoNN: Hybrid Cooperativ... - Download
    7.
    Risch, J., Künstler, V., Krestel, R.: HyCoNN: Hybrid Cooperative Neural Networks for Personalized News Discussion Recommendation. Proceedings of the International Joint Conferences on Web Intelligence and Intelligent Agent Technologies (WI-IAT). bll. 41–48 (2020).
     
  • A Dataset of Journalists'... - Download
    8.
    Risch, J., Krestel, R.: A Dataset of Journalists’ Interactions with Their Readership: When Should Article Authors Reply to Reader Comments?. Proceedings of the International Conference on Information and Knowledge Management (CIKM). bll. 3117–3124. ACM (2020).
     
  • Explaining Offensive Lang... - Download
    9.
    Risch, J., Ruff, R., Krestel, R.: Explaining Offensive Language Detection. Journal for Language Technology and Computational Linguistics (JLCL). 34, 29–47 (2020).
     
  • Offensive Language Detect... - Download
    10.
    Risch, J., Ruff, R., Krestel, R.: Offensive Language Detection Explained. Proceedings of the Workshop on Trolling, Aggression and Cyberbullying (TRAC@LREC). bll. 137–143. European Language Resources Association (ELRA) (2020).
     
  • Hierarchical Document Cla... - Download
    11.
    Risch, J., Garda, S., Krestel, R.: Hierarchical Document Classification as a Sequence Generation Task. Proceedings of the Joint Conference on Digital Libraries (JCDL). bll. 147–155 (2020).
     
  • Bagging BERT Models for R... - Download
    12.
    Risch, J., Krestel, R.: Bagging BERT Models for Robust Aggression Identification. Proceedings of the Workshop on Trolling, Aggression and Cyberbullying (TRAC@LREC). bll. 55–61. European Language Resources Association (ELRA) (2020).
     
  • Top Comment or Flop Comme... - Download
    13.
    Risch, J., Krestel, R.: Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions. Proceedings of the International Conference on Web and Social Media (ICWSM). bll. 579–589. AAAI (2020).
     
  • Domain-specific word embe... - Download
    14.
    Risch, J., Krestel, R.: Domain-specific word embeddings for patent classification. Data Technologies and Applications. 53, 108–122 (2019).
     
  • Measuring and Facilitatin... - Download
    15.
    Risch, J., Krestel, R.: Measuring and Facilitating Data Repeatability in Web Science. Datenbank-Spektrum. 19, 117–126 (2019).
     
  • hpiDEDIS at GermEval 2019... - Download
    16.
    Risch, J., Stoll, A., Ziegele, M., Krestel, R.: hpiDEDIS at GermEval 2019: Offensive Language Identification using a German BERT model. Proceedings of the 15th Conference on Natural Language Processing (KONVENS). bll. 403–408. German Society for Computational Linguistics & Language Technology, Erlangen, Germany (2019).
     
  • Book Recommendation Beyon... - Download
    17.
    Risch, J., Garda, S., Krestel, R.: Book Recommendation Beyond the Usual Suspects: Embedding Book Plots Together with Place and Time Information. Proceedings of the 20th International Conference On Asia-Pacific Digital Libraries (ICADL). bll. 227–239 (2018).
     
  • Fine-Grained Classificati... - Download
    18.
    Risch, J., Krebs, E., Löser, A., Riese, A., Krestel, R.: Fine-Grained Classification of Offensive Language. Proceedings of GermEval (co-located with KONVENS). bll. 38–44 (2018).
     
  • Learning Patent Speak: In... - Download
    19.
    Risch, J., Krestel, R.: Learning Patent Speak: Investigating Domain-Specific Word Embeddings. Proceedings of the Thirteenth International Conference on Digital Information Management (ICDIM). bll. 63–68 (2018).
     
  • Challenges for Toxic Comm... - Download
    20.
    van Aken, B., Risch, J., Krestel, R., Löser, A.: Challenges for Toxic Comment Classification: An In-Depth Error Analysis. Proceedings of the 2nd Workshop on Abusive Language Online (co-located with EMNLP). bll. 33–42 (2018).
     
  • Aggression Identification... - Download
    21.
    Risch, J., Krestel, R.: Aggression Identification Using Deep Learning and Data Augmentation. Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (co-located with COLING). bll. 150–158 (2018).
     
  • Delete or not Delete? Sem... - Download
    22.
    Risch, J., Krestel, R.: Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom. Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (co-located with COLING). bll. 166–176 (2018).
     
  • Prediction for the Newsro... - Download
    23.
    Ambroselli, C., Risch, J., Krestel, R., Loos, A.: Prediction for the Newsroom: Which Articles Will Get the Most Comments?. Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). bll. 193–199. ACL, New Orleans, Louisiana, USA (2018).
     
  • My Approach = Your Appara... - Download
    24.
    Risch, J., Krestel, R.: My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections. Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries (JCDL). bll. 283–292 (2018).
     
  • Real or Fake? Large-Scale... - Download
    25.
    Maschler, F., Niephaus, F., Risch, J.: Real or Fake? Large-Scale Validation of Identity Leaks. 47. Jahrestagung der Gesellschaft für Informatik (INFORMATIK). bll. 2437–2448 (2017).
     
  • How Do Search Engines Wor... - Download
    26.
    Krestel, R., Risch, J.: How Do Search Engines Work? A Massive Open Online Course with 4000 Participants. Proceedings of the Conference Lernen, Wissen, Daten, Analysen. bll. 259–271 (2017).
     
  • What Should I Cite? Cross... - Download
    27.
    Risch, J., Krestel, R.: What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papers. Proceedings of the International Conference on Theory and Practice of Digital Libraries (TPDL). bll. 40–46 (2017).
     
  • Approximate Discovery of ... - Download
    28.
    Bleifuß, T., Bülow, S., Frohnhofen, J., Risch, J., Wiese, G., Kruse, S., Papenbrock, T., Naumann, F.: Approximate Discovery of Functional Dependencies for Large Datasets. Proceedings of the International Conference on Information and Knowledge Management (CIKM). bll. 1803–1812. ACM, New York, NY, USA (2016).
     
  • Social Media Story Tellin... - Download
    29.
    Hennig, P., Berger, P., Dullweber, C., Finke, M., Maschler, F., Risch, J., Meinel, C.: Social Media Story Telling. Proceedings of the 8th IEEE International Conference on Social Computing and Networking (SocialCom2015). bll. 279–284. , Chengdu, China (2015).
     
  • Ergonomic Interaction for... - Download
    30.
    Schmidt, D., Frohnhofen, J., Knebel, S., Meinel, F., Perchyk, M., Risch, J., Striebel, J., Wachtel, J., Baudisch, P.: Ergonomic Interaction for Touch Floors. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. bll. 3879–3888. ACM, Seoul, Republic of Korea (2015).