activity
20222026
most citedA Decade of Knowledge Graphs in Natural Language Processing: A Survey

20 citations · 26 across the 13 of their papers we have counts for

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14 papers · 1 filter

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

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…

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

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…

cs.CL20241 cited

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…

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…