Search Results for author: Tobias Deußer

Found 9 papers, 2 papers with code

Translating the future: Image-to-image translation for the prediction of future brain metabolism

no code implementations6 Feb 2024 Elena Doering, Merle C. Hönig, Tobias Deußer, Gerard N. Bischof, Thilo van Eimeren, Alexander Drzezga, Lotta M. Ellingsen

In conclusion, both the I2I network and the linear model could offer valuable prognostic insights, guiding early intervention strategies to preemptively address anticipated declines in brain metabolism and potentially to monitor treatment effects.

Image-to-Image Translation

Controlled Randomness Improves the Performance of Transformer Models

no code implementations20 Oct 2023 Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa

During the pre-training step of natural language models, the main objective is to learn a general representation of the pre-training dataset, usually requiring large amounts of textual data to capture the complexity and diversity of natural language.

Diversity named-entity-recognition +3

sustain.AI: a Recommender System to analyze Sustainability Reports

1 code implementation15 May 2023 Lars Hillebrand, Maren Pielka, David Leonhard, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Milad Morad, Christian Temath, Thiago Bell, Robin Stenzel, Rafet Sifa

We present sustainAI, an intelligent, context-aware recommender system that assists auditors and financial investors as well as the general public to efficiently analyze companies' sustainability reports.

Multi-Label Classification Recommendation Systems

Towards automating Numerical Consistency Checks in Financial Reports

no code implementations11 Nov 2022 Lars Hillebrand, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

It combines a financial named entity and relation extraction module with a BERT-based filtering and text pair classification component to extract KPIs from unstructured sentences before linking them to synonymous occurrences in the balance sheet and profit & loss statement.

Relation Extraction Text Pair Classification

KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents

1 code implementation17 Oct 2022 Tobias Deußer, Syed Musharraf Ali, Lars Hillebrand, Desiana Nurchalifah, Basil Jacob, Christian Bauckhage, Rafet Sifa

We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recognition and Relation Extraction building on financial reports uploaded to the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system, where the main objective is to extract Key Performance Indicators (KPIs) from financial documents and link them to their numerical values and other attributes.

Benchmarking Joint Entity and Relation Extraction +5

KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports

no code implementations3 Aug 2022 Lars Hillebrand, Tobias Deußer, Tim Dilmaghani, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa

We present KPI-BERT, a system which employs novel methods of named entity recognition (NER) and relation extraction (RE) to extract and link key performance indicators (KPIs), e. g. "revenue" or "interest expenses", of companies from real-world German financial documents.

named-entity-recognition Named Entity Recognition +4

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