This article examines whether the dialogue in the first two full-length Hebrew<br> narrative films reflects spoken Hebrew of the time. The first part examines phenomena that,<br> according to written testimonies in grammar books and prescriptivist writings, were typical...

This paper describes the HUJI-KU system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Learning (CoNLL), employing TUPA and the HIT-SCIR parser, which were, respectively, the baseli...

Comment: TACL 2020

Generalization of models to out-of-distribution (OOD) data has captured tremendous attention recently. Specifically, compositional generalization, i.e., whether a model generalizes to new structures built of components observed during training, has sparked substantial i...

Recent works have demonstrated that multilingual BERT (mBERT) learns rich cross-lingual representations, that allow for transfer across languages. We study the word-level translation information embedded in mBERT and present two simple methods that expose remarkable tra...

Comment: Workshop on Insights from Negative Results in NLP, co-located with EMNLP 2020

We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re...

Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform well on the test se...

Comment: To appear at EMNLP 2020

Comment: Accepted in BlackboxNLP@EMNLP2020