Papers by Jan Nehring

2 papers
A Framework for the Needs of Different Types of Users in Multilingual Semantic Enrichment (L18-1)

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Challenge: FREME framework bridges Language Technologies (LT) and Linked Data (LD) core attributes of FREMe are usability, reusability and interoperability.
Approach: They define user types and user levels and describe how they influence design decisions in a LT and Linked Data processing framework.
Outcome: The proposed framework bridges Language Technologies (LT) and Linked Data (LD) it addresses common challenges that researchers and industry face when integrating LT and LD: interoperability, "silo" solutions and the lack of adequate tooling.
Large Language Models Are Echo Chambers (2024.lrec-main)

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Challenge: Modern large language models and chatbots are subject to criticism in many aspects.
Approach: They show that large language models and chatbots are echo chambers . they annotate inputs and show that all chatbot agree .
Outcome: The proposed models show that they tend to agree with the opinions of their users.

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