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For the Inventor, By the Inventor

Haifa, Israel

David Konopnicki

This inventor holds 31 USPTO granted patents and 7 published patent applications, primarily in Natural Language Processing. Top assignees: International Business Machines Corporation, Dealigence Inc., Hewlett-Packard Development Company, L.p.. Active years: 2010-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Konopnicki. Retrieved from https://idiyas.com/inventor/david-konopnicki

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

USPTO Granted Patents = 31 

% Patents Active = 48.4

Average Co-Inventor Count = 3.3

ph-index = 6

Forward Citations = 131(Granted Patents)


Company Filing History:

goldMedal29 out of 166,325 
 
International Business Machines Corporation
 patents
silverMedal1 out of 1 
 
Dealigence Inc.
 patent
bronzeMedal1 out of 27,667 
 
Hewlett-Packard Development Company, L.p.
 patents

Years Active: 2010-2023

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Areas of Expertise:
Conversational Search
Document Retrieval
Keyphrase Extraction
Multi-Document Summarization
Query-Based Extraction
Emotion Detection
Virtual Agents
Training Data Generation
Graph Partitioning
Hierarchical Seedlists
Taxonomy Categorization
Automated Contract Formation
31 patents (USPTO):Explore Patents
1. 11853296 - Clarification questions selection for conversational search, trained from human-to-human conversations and solution documents (2023-12-26),
2. 11797545 - Dynamically generating facets using graph partitioning (2023-10-24),
3. 11775839 - Frequently asked questions and document retrieval using bidirectional encoder representations from transformers (BERT) model trained on generated paraphrases (2023-10-03),
4. 11270061 - Automatic generation of training data for scientific paper summarization using videos (2022-03-08),
5. 11269965 - Extractive query-focused multi-document summarization (2022-03-08),
6. 11269942 - Automatic keyphrase extraction from text using the cross-entropy method (2022-03-08),
7. 11188809 - Optimizing personality traits of virtual agents (2021-11-30),
8. 11183203 - Neural representation of automated conversational agents (chatbots) (2021-11-23),
9. 11182681 - Generating natural language answers automatically (2021-11-23),
10. 11100287 - Classification engine for learning properties of words and multi-word expressions (2021-08-24),
11. 11080317 - Context-aware sentence compression (2021-08-03),
12. 11061951 - Unsupervised attention based scientific document summarization (2021-07-13),
13. 10902191 - Natural language processing techniques for generating a document summary (2021-01-26),
14. 10831806 - Query-based extractive summarization (2020-11-10),
15. 10777191 - Visually exploring and prioritizing discordant conversations with conversational bots (2020-09-15),

Title: The Innovative Mind of David Konopnicki

Introduction: David Konopnicki, a brilliant inventor hailing from Haifa, Israel, is known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: David Konopnicki's latest patents include cutting-edge advancements in artificial intelligence algorithms for autonomous vehicles, smart home technology, and renewable energy solutions.

Career Highlights: With a career spanning over two decades, David Konopnicki has worked with top research institutions and leading tech companies to develop revolutionary products. His expertise lies in merging technology with sustainability for a better future.

Collaborations: Throughout his career, David Konopnicki has collaborated with renowned engineers, scientists, and designers to bring his ideas to life. His ability to work in multidisciplinary teams has led to the successful implementation of numerous projects.

Conclusion: David Konopnicki's passion for innovation and his relentless drive to create a positive impact on society through his inventions make him a true pioneer in the world of technology. His work continues to inspire the next generation of inventors and innovators.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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