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- Tel Aviv UniversityIL42 papers
- Boston UniversityUS31 papers
- Technion – Israel Institute of TechnologyIL26 papers
- Ben-Gurion University of the NegevIL24 papers
- Hebrew University of JerusalemIL21 papers
- University of Maryland, College ParkUS20 papers
- Ariel UniversityIL19 papers
- Weizmann Institute of ScienceIL17 papers
- Centre National de la Recherche ScientifiqueFR16 papers
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- Institute of Radio AstronomyUA13 papers
- Brookhaven National LaboratoryUS12 papers
22 papers · 1 filter
Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation
Itay Yair, Hillel Taub-Tabib, Yoav Goldberg
Information extraction systems often produce hundreds to thousands of strings on a specific topic. We present a method that facilitates better consumption of these strings, in an e…
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Over the past few decades, large archives of paper-based historical documents, such as books and newspapers, have been digitized using the Optical Character Recognition (OCR) techn…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…
Realistic Evaluation Principles for Cross-document Coreference Resolution
Arie Cattan, Alon Eirew, Gabriel Stanovsky +2
We point out that common evaluation practices for cross-document coreference resolution have been unrealistically permissive in their assumed settings, yielding inflated results. W…
Cross-document Coreference Resolution over Predicted Mentions
Arie Cattan, Alon Eirew, Gabriel Stanovsky +2
Coreference resolution has been mostly investigated within a single document scope, showing impressive progress in recent years based on end-to-end models. However, the more challe…
Data Augmentation for Sign Language Gloss Translation
Amit Moryossef, Kayo Yin, Graham Neubig +1
Sign language translation (SLT) is often decomposed into video-to-gloss recognition and gloss-to-text translation, where a gloss is a sequence of transcribed spoken-language words…