11 citations · 17 across the 5 of their papers we have counts for
5 papers
Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts
Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet
Over the past few decades, large archives of paper-based documents such as books and newspapers have been digitized using Optical Character Recognition. This technology is error-pr…
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science
Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet
Combining computational technologies and humanities is an ongoing effort aimed at making resources such as texts, images, audio, video, and other artifacts digitally available, sea…
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech
With the rising popularity of user-generated genealogical family trees, new genealogical information systems have been developed. State-of-the-art natural question answering algori…
Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts
Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech
Over the past few decades, large archives of paper-based historical documents, such as books and newspapers, have been digitized using the Optical Character Recognition (OCR) techn…
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks
Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech
One of the key AI tools for textual corpora exploration is natural language question-answering (QA). Unlike keyword-based search engines, QA algorithms receive and process natural…