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2nd OST@ICDAR 2019: Sydney, Australia

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2nd International Workshop on Open Services and Tools for Document Analysis, OST@ICDAR 2019, Sydney, Australia, September 22-25, 2019. IEEE 2019, ISBN 978-1-7281-5054-3

First Interactive Pitch & Demo Session

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  - conf/icdar/JaumeET19
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Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran:
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents. 1-6
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Marc-Peter Schambach, Stephan von der Nüll, Martin Schall:
Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms. 7-12
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Quang Huy Ung, Khanh Minh Phan, Hung Tuan Nguyen, Masaki Nakagawa:
Strategy and Tools for Collecting and Annotating Handwritten Descriptive Answers for Developing Automatic and Semi-Automatic Marking - An Initial Effort to Math. 13-18
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  - conf/icdar/KiesslingTSE19
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Benjamin Kiessling, Robin Tissot, Peter A. Stokes, Daniel Stökl Ben Ezra:
eScriptorium: An Open Source Platform for Historical Document Analysis. 19

Second Interactive Pitch & Demo Session

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Nicolas Dutly, Fouad Slimane, Rolf Ingold:
PHTI-WS: A Printed and Handwritten Text Identification Web Service Based on FCN and CRF Post-Processing. 20-25
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Vu Tran Minh Khuong, Khanh Minh Phan, Masaki Nakagawa:
Interactive User Interface for Recognizing Online Handwritten Mathematical Expressions and Correcting Misrecognition. 26-30
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Abhishek Trivedi, Ravi Kiran Sarvadevabhatla:
HInDoLA: A Unified Cloud-Based Platform for Annotation, Visualization and Machine Learning-Based Layout Analysis of Historical Manuscripts. 31-35

Third Interactive Pitch & Demo Session

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Pankaj Singh, Bhavya Patwa, Rohit Saluja, Ganesh Ramakrishnan, Parag Chaudhuri:
StreetOCRCorrect: An Interactive Framework for OCR Corrections in Chaotic Indian Street Videos. 36-40
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Huichen Yang, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis:
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. 41-46

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