Eliyahu Kiperwasser

Eliyahu Kiperwasser

Senior Applied Researcher

eBay

Biography

I finished my PhD degree in the Natural Language Processing Lab at Bar-Ilan University, under the supervision of Prof. Yoav Goldberg. I work as a Senior Applied Researcher at eBay.

My interests include applied Computational Linguistics and Machine Learning.

Interests

  • Artificial Intelligence
  • Computational Linguistics
  • Machine Learning

Education

  • PhD in Computer Science

    Bar-Ilan University

  • MSc in Computer Science

    Bar-Ilan University

  • BSc in Computer Science

    Tel-Aviv University

Experience

 
 
 
 
 

Senior Applied Researcher

eBay

Jan 2021 – Present Netanya, Israel
 
 
 
 
 

Research Scientist (NLP)

BeyondMinds

Jun 2020 – Jan 2021 Tel-Aviv, Israel
 
 
 
 
 

NLP Expert / Tech Lead, VP

Citi Innovation Lab

May 2018 – Jun 2020 Tel-Aviv, Israel
 
 
 
 
 

Research Intern

IBM Research

May 2017 – Oct 2017 New York, USA

Publications

Scheduled Multi-Task Learning: From Syntax to Translation

Neural encoder-decoder models of machine translation have achieved impressive results, while learning linguistic knowledge of both the …
PDF

Easy-First Dependency Parsing with Hierarchical Tree LSTMs

We suggest a compositional vector representation of parse trees that relies on a recursive combination of recurrent-neural network …
PDF Code Poster Slides

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

We present a simple and effective scheme for dependency parsing which is based on bidirectional-LSTMs (BiLSTMs). Each sentence token is …
PDF Code Poster Slides

Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data

We present a semi-supervised approach to improve dependency parsing accuracy by using bilexical statistics derived from auto-parsed …
PDF Code Poster

Posts

Honorable Mention

It is a great honor for me that my work is considered as one of the biggest developments of the last decade in NLP (link).
Last updated on Nov 28, 2020 1 min read

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