LayoutParser: Aa unified toolkit for deep learning-based document image analysis
Presented by Melissa Dell (Harvard University)
Recent advances in document image analysis (DIA) have beenprimarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production and extended for further investigation. However, various factors like loosely organized code bases and sophisticated model configurations complicate the easy reuse of important innovations by a wide audience.
Though there have been ongoing efforts to improve reusability and simplify deep learning (DL) model development in disciplines like natural language processing and computer vision, none of them are optimized for challenges in the domain of DIA. This represents a major gap in the existing toolkit, as DIA is central to academic research across a wide range of disciplines in the social sciences and humanities. This paper introduces LayoutParser, an open source library for streamlining the usage of DL in DIA research and applications. The core LayoutParser library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks.
To promote extensibility, LayoutParser also incorporates a community platform for sharing both pre-trained models and full document digitization pipelines. We demonstrate that LayoutParser is helpful for both lightweight and large-scale digitization pipelines in real word use cases.
Speaker
Professor Dell is the Andrew E. Furer Professor of Economics at Harvard University. She is the 2020 recipient of the John Bates Clark Medal, awarded each year to an American economist under the age of forty who is judged to have made the most significant contribution to economic thought and knowledge. In 2018, The Economist named her one of the decade’s eight best young economists, and in 2014 she was named by the IMF as the youngest of 25 economists under the age of 45 shaping thought about the global economy. Her research focuses on economic growth and political economy.
SoDa Labs webinar series
The SoDa Labs webinar series provides a platform for researchers around the world to present work that uses novel and alternative data and/or tools from data science and beyond to answer social science questions.
Event Details
- Date:
- 3 August 2021 at 9:00 am – 10:00 am
- Venue:
- Online
- Categories:
- Economics; General; SoDa Labs; SoDa Labs Webinars
Description
Presented by Melissa Dell (Harvard University)
Recent advances in document image analysis (DIA) have beenprimarily driven by the application of neural networks. Ideally, research outcomes could be easily deployed in production and extended for further investigation. However, various factors like loosely organized code bases and sophisticated model configurations complicate the easy reuse of important innovations by a wide audience.
Though there have been ongoing efforts to improve reusability and simplify deep learning (DL) model development in disciplines like natural language processing and computer vision, none of them are optimized for challenges in the domain of DIA. This represents a major gap in the existing toolkit, as DIA is central to academic research across a wide range of disciplines in the social sciences and humanities. This paper introduces LayoutParser, an open source library for streamlining the usage of DL in DIA research and applications. The core LayoutParser library comes with a set of simple and intuitive interfaces for applying and customizing DL models for layout detection, character recognition, and many other document processing tasks.
To promote extensibility, LayoutParser also incorporates a community platform for sharing both pre-trained models and full document digitization pipelines. We demonstrate that LayoutParser is helpful for both lightweight and large-scale digitization pipelines in real word use cases.
Speaker
Professor Dell is the Andrew E. Furer Professor of Economics at Harvard University. She is the 2020 recipient of the John Bates Clark Medal, awarded each year to an American economist under the age of forty who is judged to have made the most significant contribution to economic thought and knowledge. In 2018, The Economist named her one of the decade’s eight best young economists, and in 2014 she was named by the IMF as the youngest of 25 economists under the age of 45 shaping thought about the global economy. Her research focuses on economic growth and political economy.
SoDa Labs webinar series
The SoDa Labs webinar series provides a platform for researchers around the world to present work that uses novel and alternative data and/or tools from data science and beyond to answer social science questions.
Event Contact
- Name
- SoDaLabs@monash.edu
- Phone
- Organisation