1 code implementation • EACL 2021 • Matan Eyal, Asaf Amrami, Hillel Taub-Tabib, Yoav Goldberg
The models also outperform models trained using NLG data augmentation techniques.
no code implementations • 18 Jan 2021 • Asaf Amrami, Yoav Goldberg
We present a simple proof for the benefit of depth in multi-layer feedforward network with rectified activation ("depth separation").
2 code implementations • 29 May 2019 • Asaf Amrami, Yoav Goldberg
Word sense induction (WSI) is the task of unsupervised clustering of word usages within a sentence to distinguish senses.
Ranked #1 on Word Sense Induction on SemEval 2010 WSI
1 code implementation • EMNLP 2018 • Asaf Amrami, Yoav Goldberg
An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substitute vectors.