Laura Chiticariu

USPTO Granted Patents = 17 (Patent Applications = 1)

Average Co-Inventor Count = 4.1

ph-index = 5

Forward Citations = 54(Granted Patents)

Company Filing History:

16 out of 164,108

International Business Machines Corporation

Years Active: 2013-2024

where 'Filed Patents' based on already Granted Patents

17 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11900070 - Producing explainable rules via deep learning (2024-02-13),

2. 11769007 - Treebank synthesis for training production parsers (2023-09-26),

3. 11650970 - Extracting structure and semantics from tabular data (2023-05-16),

4. 11636099 - Domain-specific labeled question generation for training syntactic parsers (2023-04-25),

5. 10783328 - Semi-automatic process for creating a natural language processing resource (2020-09-22),

6. 10296573 - Building and maintaining information extraction rules (2019-05-21),

7. 10289963 - Unified text analytics annotator development life cycle combining rule-based and machine learning based techniques (2019-05-14),

8. 10162852 - Constructing concepts from a task specification (2018-12-25),

9. 10042846 - Cross-lingual information extraction program (2018-08-07),

10. 9898460 - Generation of a natural language resource using a parallel corpus (2018-02-20),

11. 9734297 - Extraction of information from clinical reports (2017-08-15),

12. 9652627 - Probabilistic surfacing of potentially sensitive identifiers (2017-05-16),

13. 9436660 - Building and maintaining information extraction rules (2016-09-06),

14. 9215243 - Identifying and ranking pirated media content (2015-12-15),

15. 8793199 - Extraction of information from clinical reports (2014-07-29),

Title: The Innovative Contributions of Laura Chiticariu

Introduction

Laura Chiticariu, based in San Jose, CA, is a prominent inventor known for her significant contributions to the fields of computer science and data processing. With an impressive portfolio of 17 patents, she has established herself as a leading figure in developing advanced technologies that harness deep learning and syntactic analysis.

Latest Patents

Among her latest patents, Chiticariu has introduced a method for producing explainable rules via deep learning. This computer-implemented method involves training a deep neural network (DNN) with a set of sentences, each paired with an associated label, ultimately generating a linguistic expression through the trained model. Another notable patent pertains to treebank synthesis for training production parsers, which provides a novel approach for generating synthetic treebanks. This process aids in training parsers by retrieving corpora of text in specified languages and generating treebanks that enhance machine learning capabilities for production systems.

Career Highlights

Throughout her career, Chiticariu has worked with prestigious organizations such as IBM and Globalfoundries Inc. Her work in these companies has allowed her to apply her innovative ideas in practical scenarios, leading to advancements in technology and research.

Collaborations

Laura has collaborated with notable peers, including Yunyao Li and Marina Danilevsky Hailpern, further enriching her work and fostering a dynamic exchange of ideas and expertise within the field.

Conclusion

With her extensive patent portfolio and impactful collaborations, Laura Chiticariu continues to drive innovations that shape the future of technology. Her dedication to advancing deep learning and syntactic parsing marks her as a significant contributor to the evolving landscape of computer science.

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1 patent pending:

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