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For the Inventor, By the Inventor

Jersey City, NJ, United States of America

Dipanjan Das

USPTO Granted Patents = 13 

Average Co-Inventor Count = 3.0

ph-index = 5

Forward Citations = 143(Granted Patents)


Location History:

  • Pittsburgh, PA (US) (2013)
  • Jersey City, NJ (US) (2016 - 2024)

Company Filing History:

goldMedal13 out of 32,429 
 
Google Inc.
 patents

Years Active: 2013-2025

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13 patents (USPTO):
1. 12223273 - Learned evaluation model for grading quality of natural language generation outputs (2025-02-11),
2. 12073189 - Learned evaluation model for grading quality of natural language generation outputs (2024-08-27),
3. 12013885 - Canonicalizing search queries to natural language questions (2024-06-18),
4. 11875115 - Learned evaluation model for grading quality of natural language generation outputs (2024-01-16),
5. 11704506 - Learned evaluation model for grading quality of natural language generation outputs (2023-07-18),
6. 11551002 - Learned evaluation model for grading quality of natural language generation outputs (2023-01-10),
7. 11423068 - Canonicalizing search queries to natural language questions (2022-08-23),
8. 10289952 - Semantic frame identification with distributed word representations (2019-05-14),
9. 9779087 - Cross-lingual discriminative learning of sequence models with posterior regularization (2017-10-03),
10. 9536522 - Training a natural language processing model with information retrieval model annotations (2017-01-03),
11. 9311299 - Weakly supervised part-of-speech tagging with coupled token and type constraints (2016-04-12),
12. 9262406 - Semantic frame identification with distributed word representations (2016-02-16),
13. 8560477 - Graph-based semi-supervised learning of structured tagging models (2013-10-15),

Title: The Innovations of Dipanjan Das

Introduction

Dipanjan Das is a prominent inventor based in Jersey City, NJ, known for his significant contributions to the field of natural language processing. With a total of 13 patents to his name, he has made remarkable strides in developing technologies that enhance the quality of natural language generation outputs.

Latest Patents

One of his latest patents is titled "Learned evaluation model for grading quality of natural language generation outputs." This patent outlines systems and methods for the automatic evaluation of the quality of NLG outputs. In some aspects of the technology, a learned evaluation model may be pretrained first using NLG model pretraining tasks, followed by further pretraining tasks using automatically generated synthetic sentence pairs. After pretraining, the evaluation model can be fine-tuned using a set of human-graded sentence pairs, allowing it to approximate the grades allocated by human evaluators. In some cases, following fine-tuning, the learned evaluation model may be distilled into a student model.

Career Highlights

Dipanjan Das is currently employed at Google Inc., where he continues to innovate and develop cutting-edge technologies. His work focuses on improving the efficiency and effectiveness of natural language processing systems.

Collaborations

He has collaborated with notable coworkers such as Thibault Sellam and Ankur P Parikh, contributing to various projects that push the boundaries of technology in the field of natural language generation.

Conclusion

Dipanjan Das is a key figure in the realm of natural language processing, with a strong portfolio of patents that reflect his innovative spirit and dedication to advancing technology. His work at Google Inc. and collaborations with other experts in the field further solidify his impact on the industry.

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