TU Wien Informatics

Role

  • Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering / S. Hofstätter, M. Zlabinger, M. Sertkan, M. Schröder, A. Hanbury / Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland; 2020-12-03 - 2020-12-05; in: "Proceedings of the 29th ACM International Conference on Information & Knowledge Management", Association for Computing Machinery, (2020), ISBN: 9781450368599; 3031 - 3038
  • Learning to Re-Rank with Contextualized Stopwords / S. Hofstätter, A. Lipani, M. Zlabinger, A. Hanbury / Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Ireland (Virtual Event); 2020-12-03 - 2020-12-05; in: "Proceedings of the 29th ACM International Conference on Information & Knowledge Management", (2020), ISBN: 978-1-4503-6859-9; 2057 - 2060
  • Evaluating Transformer-Kernel Models at TREC Deep Learning 2020 / S. Hofstätter, A. Hanbury / accepted as talk for: TREC 2020 - 29th Text Retrieval Conference (TREC) 2020, Gaithersburg, Maryland, USA; 2020-11-18 - 2020-11-20; in: "NIST Special Publication: The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020)", (2020)
  • Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track / B. Mitra, S. Hofstätter, H. Zamani, N. Craswell / accepted as talk for: TREC 2020 - 29th Text Retrieval Conference (TREC) 2020, Gaithersburg, Maryland, USA; 2020-11-18 - 2020-11-20; in: "NIST Special Publication: The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020)", (2020)
  • Interpretable & time-budget-constrained contextualization for re-ranking / S. Hofstätter, M. Zlabinger, A. Hanbury / Talk: ECAI 2020 - 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain; 2020-08-29 - 2020-09-05; in: "ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)", IOS Press, Volume 325 of Frontiers in Artificial Intelligence and Applications (2020), ISBN: 978-1-64368-100-9; 1 - 8
  • Local Self-Attention over Long Text for Efficient Document Retrieval / S. Hofstätter, H. Zamani, B. Mitra, N. Craswell, A. Hanbury / Talk: SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'an, China; 2020-07-25 - 2020-07-30; in: "SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York, NY, United States, (2020), ISBN: 978-1-4503-8016-4; 2021 - 2024
  • End-to-End Contextualized Document Indexing and Retrieval with Neural Networks / S. Hofstätter / Talk: SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'an, China; 2020-07-25 - 2020-07-30; in: "SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York, NY, United States, (2020), ISBN: 978-1-4503-8016-4; 1
  • DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts / M. Zlabinger, R. Sabou, S. Hofstätter, M. Sertkan, A. Hanbury / Talk: SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi'an, China; 2020-07-25 - 2020-07-30; in: "SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval", J. Huang, Y. Chang et al. (ed.); Association for Computing Machinery, New York, NY, United States, (2020), ISBN: 978-1-4503-8016-4; 2109 - 2112
  • Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results / S. Hofstätter, M. Zlabinger, A. Hanbury / Talk: ECIR 2020 - 42nd European Conference on Information Retrieval, Lisbon, Portugal (Online); 2020-04-14 - 2020-04-17; in: "Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II", Springer, LNCS, volume 12036 (2020), ISBN: 978-3-030-45441-8; 459 - 464
  • Conformer-Kernel with Query Term Independence for Document Retrieval / B. Mitra, S. Hofstätter, H. Zamani, N. Craswell / ArXiv, 2007.10434 (2020), 1 - 10
  • Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation / S. Hofstätter, S. Althammer, M. Schröder, M. Sertkan, A. Hanbury / ArXiv, 2010.02666 (2020), 1 - 8
  • DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations / M. Zlabinger, S. Hofstätter, N. Rekabsaz, A. Hanbury / in: "Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II", Lecture Notes in Computer Science, vol 12036; Springer Nature Switzerland AG 2021, 2020, ISBN: 978-3-030-45441-8, 433 - 440
  • Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports / M. Zlabinger, R. Sabou, S. Hofstätter, A. Hanbury / in: "Findings of the Association for Computational Linguistics: EMNLP 2020", T. Cohn, Y. He, Y. Liu (ed.); issued by: Association for Computational Linguistics; The Association for Computational Linguistics, 2020, 3064 - 3074
  • Let's measure run time! Extending the IR replicability infrastructure to include performance aspects / S. Hofstätter, A. Hanbury / Talk: Open-Source IR Replicability Challenge (OSIRRC 2019), Paris, France; 2019-07-25; in: "Proceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019) co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)", (2019), 12 - 16
  • On the Effect of Low-Frequency Terms on Neural-IR Models / S. Hofstätter, N. Rekabsaz, C. Eickhoff, A. Hanbury / Talk: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 2019-07-21 - 2019-07-25; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York (2019), ISBN: 978-1-4503-6172-9; 1137 - 1140
  • Enriching Word Embeddings for Patent Retrieval with Global Context / S. Hofstätter, N. Rekabsaz, M. Lupu, C. Eickhoff, A. Hanbury / Talk: Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Cologne, Germany; 2019-04-14 - 2019-04-18; in: "Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I", Springer, Cham, LNCS, volume 11437 (2019), ISBN: 978-3-030-15718-0; 810 - 818