Yoav Goldberg

is this you? claim profile

∙ 0 followers
Bar-Ilan University ∙ Allen Institute for Artificial Intelligence

Senior Lecturer at Bar Ilan University's Computer Science Department, Post-Doc as a Research Scientist at Google Research New York, NLP Researcher at Google Inc. from 2011-2013, PhD Candidate / Teaching Assistant at Ben Gurion University from 2007-2011, Web and Crawling technologies at Picscout Inc. from 2004-2006, Networking / security / code / team leader at IDF from 1999-2004

Featured Co-authors

Masashi Sugiyama
145 publications
Graham Neubig
129 publications
Noah A. Smith
72 publications
Chris Dyer
72 publications
Gang Niu
48 publications
Trevor Cohn
46 publications
Anders Søgaard
46 publications
Jonathan Berant
46 publications
Kevin Duh
34 publications
Omer Levy
33 publications
Yonatan Belinkov
33 publications

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

To what extent can a neural network systematically reason over symbolic ...
06/11/2020 ∙ by Alon Talmor, et al. ∙ 0 ∙ share

read it
Interactive Extractive Search over Biomedical Corpora

We present a system that allows life-science researchers to search a lin...
06/07/2020 ∙ by Hillel Taub-Tabib, et al. ∙ 0 ∙ share

read it
Syntactic Search by Example

We present a system that allows a user to search a large linguistically ...
06/04/2020 ∙ by Micah Shlain, et al. ∙ 0 ∙ share

read it
Aligning Faithful Interpretations with their Social Attribution

We find that the requirement of model interpretations to be faithful is ...
06/01/2020 ∙ by Alon Jacovi, et al. ∙ 6 ∙ share

read it
When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions

A growing body of work makes use of probing in order to investigate the ...
06/01/2020 ∙ by Yanai Elazar, et al. ∙ 0 ∙ share

read it
Nakdan: Professional Hebrew Diacritizer

We present a system for automatic diacritization of Hebrew text. The sys...
05/07/2020 ∙ by Avi Shmidman, et al. ∙ 0 ∙ share

read it
pyBART: Evidence-based Syntactic Transformations for IE

Syntactic dependencies can be predicted with high accuracy, and are usef...
05/04/2020 ∙ by Aryeh Tiktinsky, et al. ∙ 0 ∙ share

read it
A Two-Stage Masked LM Method for Term Set Expansion

We tackle the task of Term Set Expansion (TSE): given a small seed set o...
05/03/2020 ∙ by Guy Kushilevitz, et al. ∙ 0 ∙ share

read it
A Formal Hierarchy of RNN Architectures

We develop a formal hierarchy of the expressive capacity of RNN architec...
04/18/2020 ∙ by William Merrill, et al. ∙ 0 ∙ share

read it
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

The ability to control for the kinds of information encoded in neural re...
04/16/2020 ∙ by Shauli Ravfogel, et al. ∙ 0 ∙ share

read it
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?

With the growing popularity of deep-learning based NLP models, comes a n...
04/07/2020 ∙ by Alon Jacovi, et al. ∙ 0 ∙ share

read it
Unsupervised Domain Clusters in Pretrained Language Models

The notion of "in-domain data" in NLP is often over-simplistic and vague...
04/05/2020 ∙ by Roee Aharoni, et al. ∙ 0 ∙ share

read it
Break It Down: A Question Understanding Benchmark

Understanding natural language questions entails the ability to break do...
01/31/2020 ∙ by Tomer Wolfson, et al. ∙ 0 ∙ share

read it
oLMpics – On what Language Model Pre-training Captures

Recent success of pre-trained language models (LMs) has spurred widespre...
12/31/2019 ∙ by Alon Talmor, et al. ∙ 14 ∙ share

read it
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?

Many natural languages assign grammatical gender also to inanimate nouns...
10/30/2019 ∙ by Hila Gonen, et al. ∙ 0 ∙ share

read it
Learning Deterministic Weighted Automata with Queries and Counterexamples

We present an algorithm for extraction of a probabilistic deterministic ...
10/30/2019 ∙ by Gail Weiss, et al. ∙ 15 ∙ share

read it
Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning

We consider the situation in which a user has collected a small set of d...
10/29/2019 ∙ by Alon Jacovi, et al. ∙ 0 ∙ share

read it
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation

We follow the step-by-step approach to neural data-to-text generation we...
09/22/2019 ∙ by Amit Moryossef, et al. ∙ 0 ∙ share

read it
Transfer Learning Between Related Tasks Using Expected Label Proportions

Deep learning systems thrive on abundance of labeled training data but s...
09/01/2019 ∙ by Matan Ben Noach, et al. ∙ 7 ∙ share

read it
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

Crowdsourcing has been the prevalent paradigm for creating natural langu...
08/21/2019 ∙ by Mor Geva, et al. ∙ 0 ∙ share

read it
Ab Antiquo: Proto-language Reconstruction with RNNs

Historical linguists have identified regularities in the process of hist...
08/07/2019 ∙ by Carlo Meloni, et al. ∙ 0 ∙ share

read it
Towards better substitution-based word sense induction

Word sense induction (WSI) is the task of unsupervised clustering of wor...
05/29/2019 ∙ by Asaf Amrami, et al. ∙ 0 ∙ share

read it
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution

We provide the first computational treatment of fused-heads construction...
05/26/2019 ∙ by Yanai Elazar, et al. ∙ 0 ∙ share

read it
Towards Neural Decompilation

We address the problem of automatic decompilation, converting a program ...
05/20/2019 ∙ by Omer Katz, et al. ∙ 0 ∙ share

read it
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation

Data-to-text generation can be conceptually divided into two parts: orde...
04/06/2019 ∙ by Amit Moryossef, et al. ∙ 12 ∙ share

read it
Aligning Vector-spaces with Noisy Supervised Lexicons

The problem of learning to translate between two vector spaces given a s...
03/25/2019 ∙ by Noa Yehezkel Lubin, et al. ∙ 0 ∙ share

read it
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages

How do typological properties such as word order and morphological case ...
03/15/2019 ∙ by Shauli Ravfogel, et al. ∙ 0 ∙ share

read it
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Word embeddings are widely used in NLP for a vast range of tasks. It was...
03/09/2019 ∙ by Hila Gonen, et al. ∙ 0 ∙ share

read it
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection

When translating from a language that does not morphologically mark info...
03/08/2019 ∙ by Amit Moryossef, et al. ∙ 0 ∙ share

read it
A Little Is Enough: Circumventing Defenses For Distributed Learning

Distributed learning is central for large-scale training of deep-learnin...
02/16/2019 ∙ by Moran Baruch, et al. ∙ 6 ∙ share

read it
Assessing BERT's Syntactic Abilities

I assess the extent to which the recently introduced BERT model captures...
01/16/2019 ∙ by Yoav Goldberg, et al. ∙ 0 ∙ share

read it
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training

We focus on the problem of language modeling for code-switched language,...
10/28/2018 ∙ by Hila Gonen, et al. ∙ 0 ∙ share

read it
Understanding Convolutional Neural Networks for Text Classification

We present an analysis into the inner workings of Convolutional Neural N...
09/21/2018 ∙ by Alon Jacovi, et al. ∙ 0 ∙ share

read it
Can LSTM Learn to Capture Agreement? The Case of Basque

Sequential neural networks models are powerful tools in a variety of Nat...
09/11/2018 ∙ by Shauli Ravfogel, et al. ∙ 0 ∙ share

read it
Word Sense Induction with Neural biLM and Symmetric Patterns

An established method for Word Sense Induction (WSI) uses a language mod...
08/26/2018 ∙ by Asaf Amrami, et al. ∙ 0 ∙ share

read it
Adversarial Removal of Demographic Attributes from Text Data

Recent advances in Representation Learning and Adversarial Training seem...
08/20/2018 ∙ by Yanai Elazar, et al. ∙ 0 ∙ share

read it
Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow

We present SetExpander, a corpus-based system for expanding a seed set o...
07/26/2018 ∙ by Jonathan Mamou, et al. ∙ 2 ∙ share

read it
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation

Deep Reinforcement Learning has managed to achieve state-of-the-art resu...
05/31/2018 ∙ by Shani Gamrian, et al. ∙ 0 ∙ share

read it
On the Practical Computational Power of Finite Precision RNNs for Language Recognition

While Recurrent Neural Networks (RNNs) are famously known to be Turing c...
05/13/2018 ∙ by Gail Weiss, et al. ∙ 0 ∙ share

read it
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences

We create a new NLI test set that shows the deficiency of state-of-the-a...
05/06/2018 ∙ by Max Glockner, et al. ∙ 0 ∙ share

read it
Split and Rephrase: Better Evaluation and a Stronger Baseline

Splitting and rephrasing a complex sentence into several shorter sentenc...
05/02/2018 ∙ by Roee Aharoni, et al. ∙ 0 ∙ share

read it
LaVAN: Localized and Visible Adversarial Noise

Most works on adversarial examples for deep-learning based image classif...
01/08/2018 ∙ by Danny Karmon, et al. ∙ 0 ∙ share

read it
Controlling Linguistic Style Aspects in Neural Language Generation

Most work on neural natural language generation (NNLG) focus on controll...
07/09/2017 ∙ by Jessica Ficler, et al. ∙ 0 ∙ share

read it
Exploring the Syntactic Abilities of RNNs with Multi-task Learning

Recent work has explored the syntactic abilities of RNNs using the subje...
06/12/2017 ∙ by Emile Enguehard, et al. ∙ 0 ∙ share

read it
On-the-fly Operation Batching in Dynamic Computation Graphs

Dynamic neural network toolkits such as PyTorch, DyNet, and Chainer offe...
05/22/2017 ∙ by Graham Neubig, et al. ∙ 0 ∙ share

read it
Towards String-to-Tree Neural Machine Translation

We present a simple method to incorporate syntactic information about th...
04/16/2017 ∙ by Roee Aharoni, et al. ∙ 0 ∙ share

read it
The Interplay of Semantics and Morphology in Word Embeddings

We explore the ability of word embeddings to capture both semantic and m...
04/06/2017 ∙ by Oded Avraham, et al. ∙ 0 ∙ share

read it
Improving a Strong Neural Parser with Conjunction-Specific Features

While dependency parsers reach very high overall accuracy, some dependen...
02/22/2017 ∙ by Jessica Ficler, et al. ∙ 0 ∙ share

read it
DyNet: The Dynamic Neural Network Toolkit

We describe DyNet, a toolkit for implementing neural network models base...
01/15/2017 ∙ by Graham Neubig, et al. ∙ 0 ∙ share

read it
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data

Prepositions are very common and very ambiguous, and understanding their...
11/27/2016 ∙ by Hila Gonen, et al. ∙ 0 ∙ share

read it