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TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking.

, , и . TREC, том 1250 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)

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Markus Markus

Markus Kurscheidt

Ökonomische Analyse von Sportgroßveranstaltungen: ein integrierter Evaluierungs- und Management-Ansatz am Beispiel von Fußball-Weltmeisterschaften. Uni Paderborn, (2007)

Markus Perling

Cohomology vanishing and exceptional sequences. Uni Bochum, habilitation, (2009)

Markus Knauer

Struktur-Reaktivitäts-Korrelation von Dieselruß und Charakterisierung von PAHs und Carbonylen im Abgas von Biokraftstoffen. TU München, (2010)

Markus Niemann

From Anomalous Deterministic Diffusion to the Continuous-Time Random Walk. Uni Wuppertal, (2009)
 

Другие публикации лиц с тем же именем

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking., , и . ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 513-520. IOS Press, (2020)DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts., , , , и . SIGIR, стр. 2109-2112. ACM, (2020)Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results., , и . CoRR, (2019)Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering., , , , и . CIKM, стр. 3031-3038. ACM, (2020)Verifying Extended Entity Relationship Diagrams with Open Tasks., , , , и . HCOMP, стр. 132-140. AAAI Press, (2020)DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations., , , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 433-440. Springer, (2020)Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports., , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 3064-3074. Association for Computational Linguistics, (2020)Mitigating the Position Bias of Transformer Models in Passage Re-ranking., , , , и . ECIR (1), том 12656 из Lecture Notes in Computer Science, стр. 238-253. Springer, (2021)Efficient and Effective Text-Annotation through Active Learning.. SIGIR, стр. 1456. ACM, (2019)Efficient Answer-Annotation for Frequent Questions., , , и . CLEF, том 11696 из Lecture Notes in Computer Science, стр. 126-137. Springer, (2019)