3 papers
cs.CL2026
HeRE: A Novel Benchmark for Hebrew Relation Extraction via LLM-Guided Denoising of Knowledge Graph Alignments
Ron Keinan, Amir David Nissan Cohen, Reut Tsarfaty
While LLMs demonstrate strong capabilities in English Relation Extraction (RE) tasks, a significant gap remains in assessing their RE performance in low-resource languages, due to…
cs.CL2024
Data-driven Coreference-based Ontology Building
Shir Ashury-Tahan, Amir David Nissan Cohen, Nadav Cohen +2
While coreference resolution is traditionally used as a component in individual document understanding, in this work we take a more global view and explore what can we learn about…
cs.CL2023
Introducing DictaLM -- A Large Generative Language Model for Modern Hebrew
Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen +1
We present DictaLM, a large-scale language model tailored for Modern Hebrew. Boasting 7B parameters, this model is predominantly trained on Hebrew-centric data. As a commitment to…