Search Results for author: Zohar Aizenbud

Found 3 papers, 0 papers with code

On the Weaknesses of Reinforcement Learning for Neural Machine Translation

no code implementations ICLR 2020 Leshem Choshen, Lior Fox, Zohar Aizenbud, Omri Abend

Reinforcement learning (RL) is frequently used to increase performance in text generation tasks, including machine translation (MT), notably through the use of Minimum Risk Training (MRT) and Generative Adversarial Networks (GAN).

Machine Translation reinforcement-learning +3

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

no code implementations SEMEVAL 2019 Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend

We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results.

UCCA Parsing

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

no code implementations31 May 2018 Daniel Hershcovich, Leshem Choshen, Elior Sulem, Zohar Aizenbud, Ari Rappoport, Omri Abend

Given the success of recent semantic parsing shared tasks (on SDP and AMR), we expect the task to have a significant contribution to the advancement of UCCA parsing in particular, and semantic parsing in general.

UCCA Parsing

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