8 papers · 1 filter
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…