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• "The Design Of A Clicker Game for Text Labelling", Madge, Bartle, Chamberlain, Kruschwitz, Poesio, 2019

  Publikation

  Games for text annotation / labelling are becoming more common, but it's difficult to find a mechanics that fits. In this work we discuss a clicker...

  Publikation auf epub.uni-regensburg.de: "The Design Of A Clicker Game for Text Labelling" (externer Link, öffnet neues Fenster)

• "Making Text Annotation Fun with a Clicker Game", Madge, Bartle, Chamberlain, Kruschwitz, Poesio, 2019

  Publikation

  In this paper we present WordClicker, a clicker game for text annotation. We believe the mechanics of 'Ville type Free-To-Play (F2P) games in general,...

  Publikation auf epub.uni-regensburg.de: "Making Text Annotation Fun with a Clicker Game" (externer Link, öffnet neues Fenster)

• "Incremental Game Mechanics Applied to Text Annotation", Madge, Bartle, Chamberlain, Kruschwitz, Poesio, 2019

  Publikation

  We argue that the mechanics of 'Ville type Free-To-Play (F2P) games in general, and incremental games in particular, is especially suited for...

  Publikation auf epub.uni-regensburg.de: "Incremental Game Mechanics Applied to Text Annotation" (externer Link, öffnet neues Fenster)

• "User Behaviour in the Wild: Analysing Naturalistic Log Data of a Pedestrian Navigation App.", Jackermeier, Ludwig, 2019

  Publikation

  Knowledge about real-life user behaviour is an important factor for the design of navigation systems. Prompted by the observation that users tend to...

  Publikation auf epub.uni-regensburg.de: "User Behaviour in the Wild: Analysing Naturalistic Log Data of a Pedestrian Navigation App." (externer Link, öffnet neues Fenster)

• "Detecting domain-specific information needs in conversational search dialogues", Frummet, Elsweiler, Ludwig, 2019

  Publikation

  As conversational search becomes more pervasive, it becomes increasingly important to understand the user's underlying needs when they converse with...

  Publikation auf epub.uni-regensburg.de: "Detecting domain-specific information needs in conversational search dialogues" (externer Link, öffnet neues Fenster)

• "UR_NLP @ HaSpeeDe 2 at EVALITA 2020: Towards Robust Hate Speech Detection with Contextual Embeddings", Kruschwitz, Hoffmann, 2020

  Publikation

  We describe our approach to addressTask A of the EVALITA 2020 Hate SpeechDetection (HaSpeeDe2) challenge.Wesubmitted two runs that are...

  Publikation auf epub.uni-regensburg.de: "UR_NLP @ HaSpeeDe 2 at EVALITA 2020: Towards Robust Hate Speech Detection with Contextual Embeddings" (externer Link, öffnet neues Fenster)

• "Hey You! Let’s Talk. Dialogue-initiatives revisited for wayfinding instructions", Krieger, Kattenbeck, Ludwig, Helmbrecht, Giannopoulos, 2020

  Publikation

  Publikation auf epub.uni-regensburg.de: "Hey You! Let’s Talk. Dialogue-initiatives revisited for wayfinding instructions" (externer Link, öffnet neues Fenster)

• "Estimation of [177Lu]PSMA-617 tumor uptake based on voxel-wise 3D Monte Carlo tumor dosimetry in patients with metastasized castration resistant prostate cancer", Götz, Lang, Prante, Cordes, Kuwert, Ritt, Ludwig, Schmidkonz, 2020

  Publikation

  Zusammenfassung

  Publikation auf epub.uni-regensburg.de: "Estimation of [177Lu]PSMA-617 tumor uptake based on voxel-wise 3D Monte Carlo tumor dosimetry in patients with metastasized castration resistant prostate cancer" (externer Link, öffnet neues Fenster)

• "Schlaf(modus). Pause | Verarbeitung | Smartphone | Mensch", 2020

  Publikation

  Allumfassende Mediennutzung ist heute irreversibler Fakt – selbst das ehemalige Refugium des Schlafs kann sich dem Ubiquitous Computing nicht...

  Publikation auf epub.uni-regensburg.de: "Schlaf(modus). Pause | Verarbeitung | Smartphone | Mensch" (externer Link, öffnet neues Fenster)

• "Comparing Wizard of Oz & Observational Studies for Conversational IR Evaluation: Lessons Learned from These two Diverse Approaches", Elsweiler, Frummet, Harvey, 2020

  Publikation

  Systematic and repeatable measurement of information systems via test collections, the Cranfield model, has been the mainstay of Information Retrieval...

  Publikation auf epub.uni-regensburg.de: "Comparing Wizard of Oz & Observational Studies for Conversational IR Evaluation: Lessons Learned from These two Diverse Approaches" (externer Link, öffnet neues Fenster)