Search Results for author: Ateret Anaby-Tavor

Found 5 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

Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems

no code implementations11 Apr 2022 Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor

The rapidly growing market demand for dialogue agents capable of goal-oriented behavior has caused many tech-industry leaders to invest considerable efforts into task-oriented dialog systems.

Goal-Oriented Dialog

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

We've had this conversation before: A Novel Approach to Measuring Dialog Similarity

no code implementations12 Oct 2021 Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor

The results demonstrate that our method outperforms the other approaches in capturing dialog flow, and is better aligned with the human perception of conversation similarity.

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

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