Roee Aharoni / רועי אהרוני | LinkedIn | CV | GitHub

I am currently a third-year PhD student at BIU's NLP lab under the supervision of Dr. Yoav Goldberg. My master's thesis, concerning text classification and machine translation quality estimation, was carried under the supervision of Prof. Moshe Koppel. My main interests are at the intersection of machine learning and natural language processing, with a soft spot for machine translation - especially from and into morphologically rich languages. When not working on NLP research you can usually find me on the mat practicing or teaching Ashtanga Vinyasa Yoga.

News & Activities:

October 2017 - Invited talk in Google Research Tel-Aviv
September 2017 - Traveling to Zurich for Google NLP Summit
August 2017 - Traveling to Vancouver to present two papers in ACL 2017
May 2017 - Reviewing for CoNLL 2017
November 2016 - Invited talk in IBM Research Tel-Aviv
August 2016 - Traveling to Berlin for ACL 2016 to present our work on Morphological Reinflection
October 2015 - Attending the DL4MT winter school in Dublin
July 2015 - Attending LxMLS in Lisbon
April 2015 - Started organizing the Israeli Natural Language Processing Meetup. Join us!


Towards String-to-Tree Neural Machine Translation
Roee Aharoni, Yoav Goldberg
ACL 2017 (short paper, oral presentation) and the 1st Workshop on Neural Machine Translation @ ACL 2017 (accepted as a cross-submission)

Morphological Inflection Generation with Hard Monotonic Attention
Roee Aharoni, Yoav Goldberg
ACL 2017 (long paper)

Improving Sequence to Sequence Learning for Morphological Inflection Generation:
The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection

Roee Aharoni, Yoav Goldberg, Yonatan Belinkov
SIGMORPHON Workshop @ ACL 2016 (system paper, achieved the 2nd place in the shared task out of 9 participating teams)

Automatic Detection of Machine Translated Text and Translation Quality Estimation
Roee Aharoni, Moshe Koppel, Yoav Goldberg
ACL 2014 (short paper, oral presentation)

M.Sc Thesis:

Automatic Detection of Machine Translated Text and Translation Quality Estimation
Roee Aharoni
Bar Ilan University, 2015


Attention Models for NLP (Video, Hebrew) @ ML Papers, Please

An interview on natural language processing (Text, Hebrew) @ Machine Learning Israel

Intro to Deep Learning for Natural Language Processing (Slides) @ Intel research seminar & PyData Berlin

Neural Machine Translation (Slides) @ BIU ML seminar

Towards Improving Machine Translation and Speech Recognition with Discriminative Fluency Classification (Slides) @ ICRI-CI retreat

Intro to Statistical Machine Translation (Slides, Hebrew)