7 papers
Ground Truths in Suicide Research: The Current State of AI-Based Suicide Detection in Social Media
Yaakov Ophir, Ofri Hefetz, Refael Tikochinski +6
Recent advances in artificial intelligence (AI) and social media data have led to growing optimism about the ability to detect suicide risk at scale. However, the empirical foundat…
Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction
Kai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach +7
We present a new Hebrew medical language model designed to extract structured clinical timelines from electronic health records, enabling the construction of patient journeys. Our…
Training a Bilingual Language Model by Mapping Tokens onto a Shared Character Space
Aviad Rom, Kfir Bar
We train a bilingual Arabic-Hebrew language model using a transliterated version of Arabic texts in Hebrew, to ensure both languages are represented in the same script. Given the m…
Supporting Undotted Arabic with Pre-trained Language Models
Aviad Rom, Kfir Bar
We observe a recent behaviour on social media, in which users intentionally remove consonantal dots from Arabic letters, in order to bypass content-classification algorithms. Conte…
Metaphor Interpretation Using Word Embeddings
Kfir Bar, Nachum Dershowitz, Lena Dankin
We suggest a model for metaphor interpretation using word embeddings trained over a relatively large corpus. Our system handles nominal metaphors, like "time is money". It generate…
Transliteration of Judeo-Arabic Texts into Arabic Script Using Recurrent Neural Networks
Ori Terner, Kfir Bar, Nachum Dershowitz
We trained a model to automatically transliterate Judeo-Arabic texts into Arabic script, enabling Arabic readers to access those writings. We employ a recurrent neural network (RNN…
Semantic Characteristics of Schizophrenic Speech
Kfir Bar, Vered Zilberstein, Ido Ziv +4
Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over t…