Search Results for author: Christian Jilek

Found 8 papers, 1 papers with code

Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset

no code implementations16 Apr 2024 Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel

Over the years, various approaches have been employed to enhance the productivity of knowledge workers, from addressing psychological well-being to the development of personal knowledge assistants.

Benchmarking Management +1

Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories

no code implementations3 Aug 2023 Christian Jilek, Markus Schröder, Heiko Maus, Sven Schwarz, Andreas Dengel

This paper presents a retrospective overview of a decade of research in our department towards self-organizing personal knowledge assistants in evolving corporate memories.

graph construction Management

The Person Index Challenge: Extraction of Persons from Messy, Short Texts

1 code implementation16 Nov 2020 Markus Schröder, Christian Jilek, Michael Schulze, Andreas Dengel

First, we give a formal definition of the problem and describe a procedure to generate ground truth data for future evaluations.

Interactive Concept Mining on Personal Data -- Bootstrapping Semantic Services

no code implementations14 Mar 2019 Markus Schröder, Christian Jilek, Andreas Dengel

Semantic services (e. g. Semantic Desktops) are still afflicted by a cold start problem: in the beginning, the user's personal information sphere, i. e. files, mails, bookmarks, etc., is not represented by the system.

Management

Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications

no code implementations5 Dec 2018 Christian Jilek, Markus Schröder, Rudolf Novik, Sven Schwarz, Heiko Maus, Andreas Dengel

Since precision and recall are higher than with comparably fast methods, we conclude that the quality gap between high speed methods and sophisticated NLP pipelines can be narrowed a bit more without losing too much runtime performance.

named-entity-recognition Named Entity Recognition +1

Towards Semantically Enhanced Data Understanding

no code implementations13 Jun 2018 Markus Schröder, Christian Jilek, Jörn Hees, Andreas Dengel

In the field of machine learning, data understanding is the practice of getting initial insights in unknown datasets.

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