activity
20232026
most citedEvaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

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.CL2024

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…

cs.CL2024★ 1 cited

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…

cs.CL2023★ 1 cited

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…