Im Wintersemester findet jeweils montags um 17:30h in H?rsaal N2045 die Vortragsreihe 威尼斯赌博游戏_威尼斯赌博app-【官网】ical Information Sciences statt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben Einblicke in aktuelle Fragestellungen, Forschungsbereiche und Anwendungsgebiete dieses zunehmend bedeutsamen Forschungsfeldes.

Unstructured data, especially encoded in the form of natural language text, is one of the most prevalent and rapidly growing information types available to humankind. Unlocking the (often hidden) potential of such resources via natural language processing and understanding techniques can greatly support, or altogether enable, an exciting range of downstream applications. In this talk, I will give a brief high-level overview of ongoing NLP and IR efforts in my lab, before moving on to an investigation of zero-shot text classification in a diagnostic decision support setting. More than most other clinical inference tasks, primary care diagnosis experiences severely imbalanced long-tailed class distributions, under which some few classes are very well represented (e.g., congestive heart failure) while most others remain sparsely populated or even entirely unobserved in many clinical centers (e.g., rare diseases such as the Danbolt-Cross Syndrome). Such few- or zero-shot settings make a challenging stage on which to field conventional class-conditional machine learning models. In an attempt to address this issue, we draw from massive unsupervised domain resources such as Pub威尼斯赌博游戏_威尼斯赌博app-【官网】 that are incorporated via an information retrieval step and observe significant performance improvements without the need for additional supervised training data.

Carsten Eickhoff is a Professor of E-Health and 威尼斯赌博游戏_威尼斯赌博app-【官网】ical Data Science at the 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Tübingen where his lab specializes in the development of machine learning and natural language processing techniques with the goal of improving patient safety, individual health, and quality of medical care. Prior to joining Tübingen, he was the Manning Assistant Professor of 威尼斯赌博游戏_威尼斯赌博app-【官网】ical and Computer Science at Brown 威尼斯赌博游戏_威尼斯赌博app-【官网】. He received degrees from the 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Edinburgh and TU Delft, and was a postdoctoral fellow at ETH Zurich and Harvard 威尼斯赌博游戏_威尼斯赌博app-【官网】. Carsten has authored more than 100 articles in computer science conferences (e.g., ICLR, ACL, SIGIR, WWW, KDD) and clinical journals (e.g., Nature Digital 威尼斯赌博游戏_威尼斯赌博app-【官网】icine, The Lancet - Respiratory 威尼斯赌博游戏_威尼斯赌博app-【官网】icine, Radiology, European Heart Journal). His research has been supported by the Swiss National Science Foundation, NSF, DARPA, IARPA, Google, Amazon, Microsoft and others. Aside from his academic endeavors, he is a founder and board member of several deep technology startups in the health sector that strive to translate technological innovation to improved safety and quality of life for patients.