20 citations · 27 across the 16 of their papers we have counts for
16 papers
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…
CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding
Johannes Kirmayr, Lukas Stappen, Phillip Schneider +2
In today's assistant landscape, personalisation enhances interactions, fosters long-term relationships, and deepens engagement. However, many systems struggle with retaining user p…
Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
Phillip Schneider, Florian Matthes
Traditional search methods primarily depend on string matches, while semantic search targets concept-based matches by recognizing underlying intents and contextual meanings of sear…
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…
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…
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
Juraj Vladika, Phillip Schneider, Florian Matthes
In recent years, Large Language Models (LLMs) have demonstrated an impressive ability to encode knowledge during pre-training on large text corpora. They can leverage this knowledg…
Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
Kristiina Jokinen, Phillip Schneider, Taiga Mori
Conversational grounding is a collaborative mechanism for establishing mutual knowledge among participants engaged in a dialogue. This experimental study analyzes information-seeki…
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
Phillip Schneider, Tim Schopf, Juraj Vladika +1
Knowledge management is a critical challenge for enterprises in today's digital world, as the volume and complexity of data being generated and collected continue to grow incessant…
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
Phillip Schneider, Manuel Klettner, Elena Simperl +1
Generating natural language text from graph-structured data is essential for conversational information seeking. Semantic triples derived from knowledge graphs can serve as a valua…
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
Phillip Schneider, Manuel Klettner, Kristiina Jokinen +2
Conversational question answering systems often rely on semantic parsing to enable interactive information retrieval, which involves the generation of structured database queries f…
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search
Phillip Schneider, Nils Rehtanz, Kristiina Jokinen +1
Exploratory search is an open-ended information retrieval process that aims at discovering knowledge about a topic or domain rather than searching for a specific answer or piece of…
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking
Juraj Vladika, Phillip Schneider, Florian Matthes
In the digital age, seeking health advice on the Internet has become a common practice. At the same time, determining the trustworthiness of online medical content is increasingly…
Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living
Phillip Schneider, Nils Rehtanz, Kristiina Jokinen +1
As the healthcare sector is facing major challenges, such as aging populations, staff shortages, and common chronic diseases, delivering high-quality care to individuals has become…
Investigating Conversational Search Behavior For Domain Exploration
Phillip Schneider, Anum Afzal, Juraj Vladika +2
Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search age…
Semantic Similarity-Based Clustering of Findings From Security Testing Tools
Phillip Schneider, Markus Voggenreiter, Abdullah Gulraiz +1
Over the last years, software development in domains with high security demands transitioned from traditional methodologies to uniting modern approaches from software development a…
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Phillip Schneider, Tim Schopf, Juraj Vladika +3
In pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry. As a represen…