Christian Reisswig

This inventor holds 17 USPTO granted patents and 5 published patent applications, plus 1 CIPO patent and 5 EPO patents. Top assignee: Sap Se. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christian Reisswig. Retrieved from https://idiyas.com/inventor/christian-reisswig

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 17 (Patent Applications = 5)

% Patents Active = 100.0

CIPO Patents = 1

EPO Patents = 5 (Patent Applications = 9)

Average Co-Inventor Count = 2.0

ph-index = 3

Forward Citations = 35(Granted Patents)

Company Filing History:

17 out of 6,317

Sap Se

patents

Years Active: 2020-2025

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17 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12204860 - Data-driven structure extraction from text documents (2025-01-21),

2. 11763094 - Cascade pooling for natural language processing (2023-09-19),

3. 11615246 - Data-driven structure extraction from text documents (2023-03-28),

4. 11557140 - Model-independent confidence values for extracted document information using a convolutional neural network (2023-01-17),

5. 11514489 - Targeted document information extraction (2022-11-29),

6. 11488020 - Adaptive high-resolution digital image processing with neural networks (2022-11-01),

7. 11281928 - Querying semantic data from unstructured documents (2022-03-22),

8. 11275934 - Positional embeddings for document processing (2022-03-15),

9. 11244208 - Two-dimensional document processing (2022-02-08),

10. 11138424 - Contextual vector grids for document processing (2021-10-05),

11. 11003861 - Contextualized text description (2021-05-11),

12. 10963645 - Bi-directional contextualized text description (2021-03-30),

13. 10915788 - Optical character recognition using end-to-end deep learning (2021-02-09),

14. 10915786 - Object detection and candidate filtering system (2021-02-09),

15. 10846553 - Recognizing typewritten and handwritten characters using end-to-end deep learning (2020-11-24),

Title: Christian Reisswig: Innovator in Data-Driven Technologies

Introduction

Christian Reisswig is a prominent inventor based in Berlin, Germany. He has made significant contributions to the field of data-driven technologies, holding a total of 17 patents. His work focuses on extracting structured content from text documents and enhancing natural language processing systems.

Latest Patents

One of his latest patents is titled "Data-driven structure extraction from text documents." This invention discloses methods and apparatus for extracting structured content, represented as graphs, from text documents. The graph vertices and edges correspond to document tokens and the pairwise relationships between them. The invention supports undirected peer relationships and directed relationships, such as key-value or composition. It allows for the identification of vertices with predefined fields, which can then be mapped to database columns for automated storage of document content. A trained neural network classifier is utilized to determine relationship classifications for all pairwise combinations of input tokens, enabling the differentiation of multiple relationship types. Additionally, a multi-level classifier extracts multi-level graph structures from documents, supporting arbitrary graph structures with hierarchical and planar relationships.

Another notable patent is "Cascade pooling for natural language processing." This invention outlines systems and methods for processing digital document information, which includes text. The document information is processed through word and character encoding operations to generate vectors while retaining document location information. The data undergoes a series of convolution and maximum pooling operations to obtain maximum valued elements. This information is further processed for semantic classification using a semantic classifier and bounding box regression.

Career Highlights

Christian Reisswig is currently employed at SAP SE, where he continues to innovate and develop cutting-edge technologies. His work has significantly impacted the way structured data is extracted and processed from unstructured text.

Collaborations

He collaborates with talented individuals such as Johannes Hoehne and Anoop Raveendra Katti, contributing to a dynamic and innovative work environment.

Conclusion

Christian Reisswig is a key figure in the realm of data-driven technologies, with a strong portfolio of patents that showcase his innovative spirit. His contributions are shaping the future of data extraction and natural language processing.

Profile summary based on public USPTO records.