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 =====Data Science Group===== =====Data Science Group=====
  
-Data science group is a unit within the [[https://www.uibk.ac.at/informatik/index.html.en |Department of Computer Science]] of the [[https://www.uibk.ac.at/ | University of Innsbruck]]. It has been established in Jan 2021 and is headed by [[https://adammo12.github.io/aj/|Prof. Adam Jatowt]]. +Data science group is a unit within the [[https://www.uibk.ac.at/informatik/index.html.en |Department of Computer Science]] of the [[https://www.uibk.ac.at/ | University of Innsbruck]]. It has been established in Jan 2021 and is headed by [[https://ds-informatik.uibk.ac.at/doku.php?id=homepageAdam|Prof. Adam Jatowt]]. 
  
-The group focuses on various topics in Natural Language Processing and Information Retrieval areas, working mainly with text content.  +The group focuses on various topics in Natural Language Processing and Information Retrieval areas, working mainly with text content and large language models.  
-One of the long-lasting themes are research topics in which we pay special attention to temporal aspects of text and of long-term document collections such as collections of news articles published over multiple years (e.g., both document timestamps and temporal expressions embedded in text). +One of the long-lasting themes are research topics in which we pay special attention to temporal aspects of text and of diachronic document collections such as collections of news articles published over multiple years or decades. 
  
 In particular, the following research projects have been carried recently: In particular, the following research projects have been carried recently:
  
-  * Open domain question answering in large news article collections+  * Complex question answering 
 +  * Temporal IR and NLP 
 +  * Timeline generation  
 +  * Novel RAG approaches 
 +  * NLP/IR approaches under OCR noise in archival news collections
   * Multi-hop question answering and generation   * Multi-hop question answering and generation
-  * Timeline generation from news article datasets +  * Hint generation and evaluation for user questions 
-    * Multiple timeline generation +  * Novel information retrieval and information access approaches 
-    * Comparative timeline generation +  * Fake news and bias detection 
-  * Information retrieval and access approaches to news collections +  * Computational approaches to archival science
-  * Event time detection +
-  * Named entity retrieval +
-  * Bias detection in text (news articles) +
-  * Text readability estimation +
-  * Keyword extraction +
-  * Temporal Natural Language Inference (TNLI) +
-  * Automatic humor detection and generation +
-  * Legal AI (e.g., dialogue generation) +
-  * Text summarization +
-      * Temporal text collection summarization +
-      * Multi-modal document summarization+
  
-The group collaborated or collaborates actively with researchers from: Kyoto University (JP), AIST (JP), Kyoto Sangyo University (JP), University of La Rochelle (FR), Alibaba Group (CN), Nankai University (CN), Karlsruhe Institute of Technology (DE), University of Tsukuba (JP), University of Normandy (FR), Polytechnic Institute of Tomar (PT), University of Porto (PT), IIT Patna (IN), University of Gothenburg (SE), Nanyang Technological University (SG), Takushoku University (JP), Sorbonne University (FR), Polish-Japanese Academy of Information Technology (PL), Universiti Utara Malaysia (MY), Cork Institute of Technology (IE), Fraunhofer Austria (AT) and TuWien (AT). 
  
 +The group collaborates actively with researchers from multiple countries including Japan, Germany, USA, The Netherlands, France, China, UK, Singapore, Poland, etc. 
 +
 +
 +{{ wiki:ds-compressed.jpg?600x600 }}
 +
 +The group's output is provided in the [[https://ds-informatik.uibk.ac.at/doku.php?id=publications|publications list]] and [[https://ds-informatik.uibk.ac.at/doku.php?id=news| news]].
 ---- ----
 ==Acknowledgments== ==Acknowledgments==
 The Data Science Group gratefully acknowledges generous grants by Daniel Swarovski Corporation AG, Innio Jenbacher GmbH & Co OG, Innsbrucker Kommunalbetriebe AG (IKB), TINETZ-Tiroler Netze GmbH and Vereinigung der Österreichischen Industrie, Landesgruppe Tirol (Industriellenvereinigung Tirol), which fund the endowed professorship from 2021 to 2026.  The Data Science Group gratefully acknowledges generous grants by Daniel Swarovski Corporation AG, Innio Jenbacher GmbH & Co OG, Innsbrucker Kommunalbetriebe AG (IKB), TINETZ-Tiroler Netze GmbH and Vereinigung der Österreichischen Industrie, Landesgruppe Tirol (Industriellenvereinigung Tirol), which fund the endowed professorship from 2021 to 2026.