CV

Education

• PhD candidate in Data Science, Technion IIT, 2019 - 2022. Research in Natural Language Processing under the supervision of Professor Roi Reichart. My research focuses on structured learning for low-resource settings. My research interests are domain adaptation, cross-lingual settings, semi and self-supervised learning, model compression, model calibration and active learning.
• MSc in Information Management Engineering, Technion IIT, 2018. Research in Natural Language Processing under the supervision of Professor Roi Reichart. My research focused on multimodal multilingual models that exploit visual features to mediate between different languages. In addition, I developed stochastic optimization algorithms for deep neural networks. Graduated Cum Laude.
• BSc in Industrial Engineering & Management (major in Business Information Systems), Technion IIT, 2016. Graduated Summa Cum Laude.
  • 4 Technion President awards for excellence.
  • 3 Dean of Industrial Engineering & Management (IE&M) Technion awards for excellence.
• BA in Economics & Management, Technion IIT, 2016. Graduated Summa Cum Laude.

Work experience

August 2022 – Present Senior NLP Researcher at Gong. Working on NLP problems for conversational data such as emails and calls in the sales domain.

June 2021 – June 2022 Data & Applied Scientist Intern at Microsoft. Working on NLP problems for healthcare products in the contexts of fairness and multilinguality.

January 2019 – June 2021 Student Data Scientist at Intel. Solving machine learning classification and regression problems for streamlining manufacturing processes.

July 2017 – September 2017 Internship at Ebay Israel Research Lab under the supervision of Dr. Ido Guy and Dr. Kira Radinsky. Solved text classification and named entity recognition using machine and deep Learning models.

2015 - 2016 Research assistant at the Faculty of IE&M, Technion IIT under the supervision of Professor Izack Cohen. Applied project scheduling optimization problems.

2013 – 2016 Private tutor at the Technion Student Promotion Unit. Served as a private tutor in: Data Structures and Algorithms, Database Management, Artificial Intelligent, Data Mining, Discrete Mathematics, Probability, Statistics, Stochastic Models, Deterministic Models, Stochastic Simulation and Dynamic Linear Systems.

Skills

• Programming Languages: Python, Matlab, C, C++, R, JAVA, SQL, PHP, HTML5.

• Natural Languages:

  • Native: Hebrew.
  • Fluent: English, Portuguese, Spanish.
  • Intermediate: Italian, French.
  • Basic: Arabic.

Publications

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis

Guy Rotman, Ivan Vulić, and Roi Reichart. "Bridging languages through images with deep partial canonical correlation analysis." Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.

Deep Contextualized Self-training for Low Resource Dependency Parsing

Guy Rotman and Roi Reichart. "Deep contextualized self-training for low resource dependency parsing." Transactions of the Association for Computational Linguistics. 2019, 7 695–713.

Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies

Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan. "Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies." International Conference on Learning Representations. 2021.

Model Compression for Domain Adaptation through Causal Effect Estimation

Guy Rotman*, Amir Feder*, and Roi Reichart. "Model Compression for Domain Adaptation through Causal Effect Estimation." Transactions of the Association for Computational Linguistics. 2021, 9 1355–1373.

Designing an Automatic Agent for Repeated Language–based Persuasion Games

Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart. "Designing an Automatic Agent for Repeated Language–based Persuasion Games." Transactions of the Association for Computational Linguistics (Volume 10, pages: 307-324). 2022.

Multi-task active learning for pre-trained transformer-based models

Guy Rotman and Roi Reichart. "Multi-task active learning for pre-trained transformer-based models." Transactions of the Association for Computational Linguistics. 2022, 10 1209–1228.

Talks

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis

July 16, 2018

Talk at ACL 2018, Melbourne, Australia

Deep Contextualized Self-training for Low Resource Dependency Parsing

July 07, 2020

Talk at ACL 2018, Virtual Conference

Model Compression for Domain Adaptation through Causal Effect Estimation

November 07, 2021

Talk at EMNLP 2021, Punta Cana, Dominican Republic

Teaching

Teaching Assistant