no code implementations • 22 Jun 2022 • Naama Zwerdling, Segev Shlomov, Esther Goldbraich, George Kour, Boaz Carmeli, Naama Tepper, Inbal Ronen, Vitaly Zabershinsky, Ateret Anaby-Tavor
Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora.
no code implementations • 4 Nov 2020 • Naama Tepper, Naama Zwerdling, David Naori, Inbal Ronen
However, group chat is characterized by intertwined conversations and 'always on' availability, making it hard for users to pinpoint answers to questions they care about in real-time or search for answers in retrospective.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Naama Tepper, Esther Goldbraich, Naama Zwerdling, George Kour, Ateret Anaby Tavor, Boaz Carmeli
Data balancing is a known technique for improving the performance of classification tasks.
1 code implementation • 8 Nov 2019 • Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
Based on recent advances in natural language modeling and those in text generation capabilities, we propose a novel data augmentation method for text classification tasks.