no code implementations • 14 Aug 2023 • Yochai Blau, Rohan Agrawal, Lior Madmony, Gary Wang, Andrew Rosenberg, Zhehuai Chen, Zorik Gekhman, Genady Beryozkin, Parisa Haghani, Bhuvana Ramabhadran
We use text-injection to improve the recognition of PII categories by including fake textual substitutes of PII categories in the training data using a text injection method.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
2 code implementations • 31 May 2023 • Nitay Calderon, Naveh Porat, Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov, Roi Reichart
Our benchmark focuses on natural topical domain shifts and enables measuring both the SD and the TD.
1 code implementation • 18 May 2023 • Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor
Factual consistency evaluation is often conducted using Natural Language Inference (NLI) models, yet these models exhibit limited success in evaluating summaries.
1 code implementation • 29 Jun 2022 • Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart
We find that high benchmark scores do not necessarily translate to strong robustness, and that various methods can perform extremely differently under different settings.
1 code implementation • 14 Mar 2022 • Zorik Gekhman, Dina Zverinski, Jonathan Mallinson, Genady Beryozkin
ASR Error Detection (AED) models aim to post-process the output of Automatic Speech Recognition (ASR) systems, in order to detect transcription errors.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Zorik Gekhman, Roee Aharoni, Genady Beryozkin, Markus Freitag, Wolfgang Macherey
Our approach achieves the highest correlation with human judgements on 9 out of the 18 language pairs from the WMT19 benchmark for evaluation without references, which is the largest number of wins for a single evaluation method on this task.