Search Results for author: Boaz Carmeli

Found 8 papers, 1 papers with code

Understanding the Properties of Generated Corpora

no code implementations22 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.

Text Generation

Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead

no code implementations24 Oct 2021 Eyal Ben-David, Boaz Carmeli, Ateret Anaby-Tavor

We show that intent prediction can be improved by training a deep text-to-text neural model to generate successive user utterances from unlabeled dialogue data.

Goal-Oriented Dialogue Systems

Not Enough Data? Deep Learning to the Rescue!

1 code implementation8 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 +3

Neural network gradient-based learning of black-box function interfaces

no code implementations ICLR 2019 Alon Jacovi, Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Jonathan Berant

We propose a method for end-to-end training of a base neural network that integrates calls to existing black-box functions.

Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

no code implementations24 Apr 2018 Guy Hadash, Einat Kermany, Boaz Carmeli, Ofer Lavi, George Kour, Alon Jacovi

At inference time, we replace each estimator with its existing application counterpart and let the base network solve the task by interacting with the existing application.

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