Hi there! My name is Mor, I'm a Computer Science Ph.D. student at Tel Aviv University, and a research intern at the Allen Institute for Artificial Intelligence. I work on problems in Natural Language Processing and Machine Learning, with Prof. Jonathan Berant as my advisor. During my Ph.D. I had interned at Microsoft Media AI and Google AI.

Publications

Injecting Numerical Reasoning Skills into Language Models. Mor Geva*, Ankit Gupta* and Jonathan Berant. ACL, 2020.
paper code
@inproceedings{geva2020injecting,
  title={Injecting Numerical Reasoning Skills into Language Models},
  author={Geva, Mor and Gupta, Ankit and Berant, Jonathan},
  booktitle={Association for Computational Linguistics (ACL)},
  year={2020},
}
Break It Down: A Question Understanding Benchmark. Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, and Jonathan Berant. TACL, 2020.
paper dataset
@article{wolfson2020break,
  title={Break It Down: A Question Understanding Benchmark},
  author={Wolfson, Tomer and Geva, Mor and Gupta, Ankit and Gardner, Matt and Goldberg, Yoav and Deutch, Daniel and Berant, Jonathan},
  journal={Transactions of the Association for Computational Linguistics},
  year={2020},
}
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. Mor Geva, Yoav Goldberg and Jonathan Berant. EMNLP-IJCNLP, 2019.
paper code slides
@inproceedings{geva2019annotator,
  author = {M. Geva and Y. Goldberg and J. Berant},
  booktitle = {Empirical Methods in Natural Language Processing (EMNLP)},
  title = {Are We Modeling the Task or the Annotator? An Investigation ofAnnotator Bias in Natural Language Understanding Datasets},
  year = {2019},
}
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. Mor Geva, Eric Malmi, Idan Szpektor and Jonathan Berant. NAACL, 2019.
paper dataset slides
@inproceedings{geva_discofuse_2019,
	title = {{DiscoFuse}: {A} {Large}-{Scale} {Dataset} for {Discourse}-based {Sentence} {Fusion}},
	copyright = {All rights reserved},
	booktitle = {North {American} {Association} for {Computational} {Linguistics} ({NAACL})},
	author = {Geva, M. and Malmi, E. and Szpektor, I. and Berant, J.},
	year = {2019}
}
Emergence of Communication in an Interactive World with Consistent Speakers. Ben Bogin, Mor Geva, Jonathan Berant. Emergent Communication Workshop, NIPS, 2018.
paper code
@inproceedings{bogin_emergence_2018,
	title = {Emergence of {Communication} in an {Interactive} {World} with {Consistent} {Speakers}},
	copyright = {All rights reserved},
	booktitle = {Emergent {Communication} {Workshop}@{NIPS}},
	author = {Bogin, B. and Geva, M. and Berant, J.},
	year = {2018}
}
Learning to Search in Long Documents Using Document Structure. Mor Geva, Jonathan Berant. COLING, 2018.
paper code
@inproceedings{geva_learning_2018,
	title = {Learning to {Search} in {Long} {Documents} using {Document} {Structure}},
	copyright = {All rights reserved},
	booktitle = {International {Conference} on {Computational} {Linguistics} ({COLING})},
	author = {Geva, M. and Berant, J.},
	year = {2018}
}
Evaluating Semantic Parsing against a Simple Web-based Question Answering Model. Alon Talmor, Mor Geva, Jonathan Berant. *SEM, 2017.
paper dataset
@inproceedings{talmor_evaluating_2017,
	title = {Evaluating {Semantic} {Parsing} against a {Simple} {Web}-based {Question} {Answering} {Model}},
	copyright = {All rights reserved},
	booktitle = {*{SEM}},
	author = {Talmor, A. and Geva, M. and Berant, J.},
	year = {2017}
}

Patents

Training Set Sufficiency for Custom Face Recognition , joint with Oron Nir. Issued May 11, 2018, us 404234-US-NP.
Media Management System for Video Data Processing and Adaptation Data Generation . June, 2018, us 403684-US-NP.
Methods for Consolidating OCR Detection in Video , joint with Oron Nir. June, 2018, us 403687-US-PSP.

Teaching

Introduction to Machine Learning

Fall 2018/19
Teaching Assistant

NVIDIA DLI Workshop

2018/19
University Ambassador