From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? - Reut Tsarfaty; Dan Bareket; Stav Klein; Amit Seker (ACL, 2020)

Neural Modeling for Named Entities and Morphology (NEMO^2). - Dan Bareket; Reut Tsarfaty (CoRR, 2020)

AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With. - Amit Seker; Elron Bandel; Dan Bareket; Idan Brusilovsky; Refael Shaked Greenfeld; Reut Tsarfaty (CoRR, 2021)

Neural Modeling for Named Entities and Morphology (NEMO2). - Dan Bareket; Reut Tsarfaty (Trans. Assoc. Comput. Linguistics, 2021)

AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level. - Amit Seker; Elron Bandel; Dan Bareket; Idan Brusilovsky; Refael Shaked Greenfeld; Reut Tsarfaty (ACL (1), 2022)

Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All. - Eylon Guetta; Avi Shmidman; Shaltiel Shmidman; Cheyn Shmuel Shmidman; Joshua Guedalia; Moshe Koppel; Dan Bareket; Amit Seker; Reut Tsarfaty (CoRR, 2022)

Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses? - Avi Shmidman; Cheyn Shmuel Shmidman; Dan Bareket; Moshe Koppel; Reut Tsarfaty (EACL, 2023)

The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence. - Eliya Habba; Renana Keydar; Dan Bareket; Gabriel Stanovsky (ICAIL, 2023)