Not Enough Data? Deep Learning to the Rescue!

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.

Data Augmentation General Classification +5

Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora

no code implementations • COLING 2014 • Noam Slonim, Ehud Aharoni, Carlos Alzate, Roy Bar-Haim, Yonatan Bilu, Lena Dankin, Iris Eiron, Daniel Hershcovich, Shay Hummel, Mitesh Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund

Decision Making

Answer Identification in Collaborative Organizational Group Chat

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.

Clustering Density Estimation

Balancing via Generation for Multi-Class Text Classification Improvement

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.

Multi Class Text Classification text-classification +2

Understanding the Properties of Generated Corpora

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.

Sentence Text Generation

Unveiling Safety Vulnerabilities of Large Language Models

no code implementations • 7 Nov 2023 • George Kour, Marcel Zalmanovici, Naama Zwerdling, Esther Goldbraich, Ora Nova Fandina, Ateret Anaby-Tavor, Orna Raz, Eitan Farchi

As large language models become more prevalent, their possible harmful or inappropriate responses are a cause for concern.

Semantic Similarity Semantic Textual Similarity