Search Results for author: Phillip Schneider

Found 9 papers, 6 papers with code

Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing

no code implementations1 Apr 2024 Phillip Schneider, Tim Schopf, Juraj Vladika, Florian Matthes

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 incessantly.

Knowledge Graphs Management

A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation

1 code implementation2 Feb 2024 Phillip Schneider, Manuel Klettner, Elena Simperl, Florian Matthes

In this study, we conduct an empirical analysis of conversational large language models in generating natural language text from semantic triples.

Knowledge Graphs Text Generation

Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs

1 code implementation3 Jan 2024 Phillip Schneider, Manuel Klettner, Kristiina Jokinen, Elena Simperl, Florian Matthes

Conversational question answering systems often rely on semantic parsing to enable interactive information retrieval, which involves the generation of structured database queries from a natural language input.

Conversational Question Answering Information Retrieval +3

From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search

1 code implementation8 Oct 2023 Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes

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 information.

Conversational Search Information Retrieval +3

Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living

no code implementations24 Mar 2023 Phillip Schneider, Nils Rehtanz, Kristiina Jokinen, Florian Matthes

By leveraging graph databases to semantically structure news data and implementing an intuitive voice-based interface, our system can help care-dependent people to easily discover relevant news articles and give personalized recommendations.

Knowledge Graphs

Investigating Conversational Search Behavior For Domain Exploration

1 code implementation10 Jan 2023 Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search agents.

Conversational Search Information Retrieval +1

Semantic Similarity-Based Clustering of Findings From Security Testing Tools

no code implementations20 Nov 2022 Phillip Schneider, Markus Voggenreiter, Abdullah Gulraiz, Florian Matthes

Over the last years, software development in domains with high security demands transitioned from traditional methodologies to uniting modern approaches from software development and operations (DevOps).

Clustering Semantic Similarity +1

A Decade of Knowledge Graphs in Natural Language Processing: A Survey

1 code implementation30 Sep 2022 Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes

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.

Knowledge Graphs

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