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20222024
most citedDifferential Privacy in Natural Language Processing: The Story So Far

24 citations · 68 across the 29 of their papers we have counts for

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cs.CL2026

Not All Fallbacks Are Failures: Understanding and Recovering from Fallbacks in Mobile Voice Assistants

Phillip Schneider, Alexandre Mercier, Joshua Oehms +2

Robust understanding of user input is a core requirement for voice assistants deployed in real-world environments. In practice, these systems encounter heterogeneous fallback situa…

cs.CL2024

Bridging Information Gaps in Dialogues With Grounded Exchanges Using Knowledge Graphs

Phillip Schneider, Nektarios Machner, Kristiina Jokinen +1

Knowledge models are fundamental to dialogue systems for enabling conversational interactions, which require handling domain-specific knowledge. Ensuring effective communication in…

cs.CL20241 cited

An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry

Stephen Meisenbacher, Tim Schopf, Weixin Yan +2

The task of is often an important initial step in unsupervised information extraction, forming the basis for tasks such as topic modeling or document…

cs.CL20243 cited

Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop

Anum Afzal, Alexander Kowsik, Rajna Fani +1

Large Language Models have found application in various mundane and repetitive tasks including Human Resource (HR) support. We worked with the domain experts of SAP SE to develop a…

cs.CL2024

NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing

Tim Schopf, Florian Matthes

Scientific literature searches are often exploratory, whereby users are not yet familiar with a particular field or concept but are interested in learning more about it. However, e…

cs.CL20241 cited

Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components

Phillip Schneider, Wessel Poelman, Michael Rovatsos +1

Conversational search systems enable information retrieval via natural language interactions, with the goal of maximizing users' information gain over multiple dialogue turns. The…