meta data for this page
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
start [2025/11/27 16:56] adam |
start [2026/10/17 08:47] (current) adam |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| =====Data Science Group===== | =====Data Science Group===== | ||
| - | Data science group is a unit within the [[https:// | + | Data science group is a unit within the [[https:// |
| The group focuses on various topics in Natural Language Processing and Information Retrieval areas, working mainly with text content and large language models. | The group focuses on various topics in Natural Language Processing and Information Retrieval areas, working mainly with text content and large language models. | ||
| Line 10: | Line 10: | ||
| * Complex question answering | * Complex question answering | ||
| * Temporal IR and NLP | * Temporal IR and NLP | ||
| - | | + | * Timeline generation |
| - | | + | |
| - | * NLP/IR approaches under OCR noise in archival news collections | + | |
| * Novel RAG approaches | * 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 | ||
| * Hint generation and evaluation for user questions | * Hint generation and evaluation for user questions | ||
| - | * Novel information retrieval and access approaches | + | * Novel information retrieval and information |
| * Fake news and bias detection | * Fake news and bias detection | ||
| * Computational approaches to archival science | * Computational approaches to archival science | ||
| Line 26: | Line 25: | ||
| {{ wiki: | {{ wiki: | ||
| + | The group' | ||
| ---- | ---- | ||
| ==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. | ||