b'Yoav Goldberg'

research

∙ 09/18/2023

Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation

Information extraction systems often produce hundreds to thousands of st...

0 Itay Yair, et al. ∙

research

∙ 06/24/2023

Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels

Deverbal nouns are nominal forms of verbs commonly used in written Engli...

0 Aviv Weinstein, et al. ∙

research

∙ 06/15/2023

Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment

Text-conditioned image generation models often generate incorrect associ...

7 Royi Rassin, et al. ∙

research

∙ 05/28/2023

An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation

Sign language translation systems are complex and require many component...

0 Amit Moryossef, et al. ∙

research

∙ 05/26/2023

Conjunct Resolution in the Face of Verbal Omissions

Verbal omissions are complex syntactic phenomena in VP coordination stru...

0 Royi Rassin, et al. ∙

research

∙ 05/24/2023

ChatGPT and Simple Linguistic Inferences: Blind Spots and Blinds

This paper sheds light on the limitations of ChatGPT's understanding cap...

0 Victoria Basmov, et al. ∙

research

∙ 05/21/2023

Retrieving Texts based on Abstract Descriptions

In this work, we aim to connect two research areas: instruction models a...

3 Shauli Ravfogel, et al. ∙

research

∙ 05/17/2023

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Data contamination has become especially prevalent and challenging with ...

0 Alon Jacovi, et al. ∙

research

∙ 05/04/2023

Neighboring Words Affect Human Interpretation of Saliency Explanations

Word-level saliency explanations ("heat maps over words") are often used...

0 Alon Jacovi, et al. ∙

research

∙ 05/04/2023

Conformal Nucleus Sampling

Language models generate text based on successively sampling the next wo...

9 Shauli Ravfogel, et al. ∙

research

∙ 03/19/2023

Two Kinds of Recall

It is an established assumption that pattern-based models are good at pr...

0 Yoav Goldberg, et al. ∙

research

∙ 03/07/2023

At Your Fingertips: Extracting Piano Fingering Instructions from Videos

Piano fingering – knowing which finger to use to play each note in a mus...

12 Amit Moryossef, et al. ∙

research

∙ 10/23/2022

Lexical Generalization Improves with Larger Models and Longer Training

While fine-tuned language models perform well on many tasks, they were a...

0 Elron Bandel, et al. ∙

research

∙ 10/19/2022

DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models

We study the way DALLE-2 maps symbols (words) in the prompt to their ref...

2 Royi Rassin, et al. ∙

research

∙ 10/18/2022

Linear Guardedness and its Implications

Previous work on concept identification in neural representations has fo...

2 Shauli Ravfogel, et al. ∙

research

∙ 10/12/2022

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm

Recently, the community has achieved substantial progress on many common...

9 Hongming Zhang, et al. ∙

research

∙ 10/07/2022

Understanding Transformer Memorization Recall Through Idioms

To produce accurate predictions, language models (LMs) must balance betw...

14 Adi Haviv, et al. ∙

research

∙ 09/09/2022

F-COREF: Fast, Accurate and Easy to Use Coreference Resolution

We introduce fastcoref, a python package for fast, accurate, and easy-to...

0 Shon Otmazgin, et al. ∙

research

∙ 07/28/2022

Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions

Large amounts of training data are one of the major reasons for the high...

0 Yanai Elazar, et al. ∙

research

∙ 06/26/2022

Rivendell: Project-Based Academic Search Engine

Finding relevant research literature in online databases is a familiar c...

0 Teddy Lazebnik, et al. ∙

research

∙ 05/25/2022

LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution

While coreference resolution typically involves various linguistic chall...

0 Shon Otmazgin, et al. ∙

research

∙ 05/04/2022

A Dataset for N-ary Relation Extraction of Drug Combinations

Combination therapies have become the standard of care for diseases such...

0 Aryeh Tiktinsky, et al. ∙

research

∙ 04/26/2022

LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models

The opaque nature and unexplained behavior of transformer-based language...

5 Mor Geva, et al. ∙

research

∙ 04/20/2022

Analyzing Gender Representation in Multilingual Models

Multilingual language models were shown to allow for nontrivial transfer...

15 Hila Gonen, et al. ∙

research

∙ 03/28/2022

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

Transformer-based language models (LMs) are at the core of modern NLP, b...

0 Mor Geva, et al. ∙

research

∙ 01/28/2022

Adversarial Concept Erasure in Kernel Space

The representation space of neural models for textual data emerges in an...

2 Shauli Ravfogel, et al. ∙

research

∙ 01/28/2022

Linear Adversarial Concept Erasure

Modern neural models trained on textual data rely on pre-trained represe...

1 Shauli Ravfogel, et al. ∙

research

∙ 01/27/2022

Human Interpretation of Saliency-based Explanation Over Text

While a lot of research in explainable AI focuses on producing effective...

14 Hendrik Schuff, et al. ∙

research

∙ 01/27/2022

Diagnosing AI Explanation Methods with Folk Concepts of Behavior

When explaining AI behavior to humans, how is the communicated informati...

0 Alon Jacovi, et al. ∙

research

∙ 12/28/2021

Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora

The problem of comparing two bodies of text and searching for words that...

0 Hila Gonen, et al. ∙

research

∙ 10/14/2021

Large Scale Substitution-based Word Sense Induction

We present a word-sense induction method based on pre-trained masked lan...

0 Matan Eyal, et al. ∙

research

∙ 09/24/2021

Text-based NP Enrichment

Understanding the relations between entities denoted by NPs in text is a...

0 Yanai Elazar, et al. ∙

research

∙ 09/10/2021

Asking It All: Generating Contextualized Questions for any Semantic Role

Asking questions about a situation is an inherent step towards understan...

0 Valentina Pyatkin, et al. ∙

research

∙ 06/30/2021

On the Power of Saturated Transformers: A View from Circuit Complexity

Transformers have become a standard architecture for many NLP problems. ...

0 William Merrill, et al. ∙

research

∙ 06/18/2021

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

We show that with small-to-medium training data, fine-tuning only the bi...

3 Elad Ben Zaken, et al. ∙

research

∙ 06/13/2021

Thinking Like Transformers

What is the computational model behind a Transformer? Where recurrent ne...

0 Gail Weiss, et al. ∙

research

∙ 06/08/2021

Neural Extractive Search

Domain experts often need to extract structured information from large c...

6 Shauli Ravfogel, et al. ∙

research

∙ 05/14/2021

Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction

When language models process syntactically complex sentences, do they us...

24 Shauli Ravfogel, et al. ∙

research

∙ 04/22/2021

Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?

Language models trained on billions of tokens have recently led to unpre...

0 William Merrill, et al. ∙

research

∙ 04/17/2021

Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes

We explore Few-Shot Learning (FSL) for Relation Classification (RC). Foc...

0 Ofer Sabo, et al. ∙

research

∙ 04/16/2021

Back to Square One: Bias Detection, Training and Commonsense Disentanglement in the Winograd Schema

The Winograd Schema (WS) has been proposed as a test for measuring commo...

0 Yanai Elazar, et al. ∙

research

∙ 04/15/2021

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Large Transformers pretrained over clinical notes from Electronic Health...

0 Eric Lehman, et al. ∙

research

∙ 03/02/2021

Contrastive Explanations for Model Interpretability

Contrastive explanations clarify why an event occurred in contrast to an...

35 Alon Jacovi, et al. ∙

research

∙ 02/09/2021

Bootstrapping Relation Extractors using Syntactic Search by Examples

The advent of neural-networks in NLP brought with it substantial improve...

0 Matan Eyal, et al. ∙

research

∙ 01/18/2021

A simple geometric proof for the benefit of depth in ReLU networks

We present a simple proof for the benefit of depth in multi-layer feedfo...

0 Asaf Amrami, et al. ∙

research

∙ 12/08/2020

Facts2Story: Controlling Text Generation by Key Facts

Recent advancements in self-attention neural network architectures have ...

0 Eyal Orbach, et al. ∙

research

∙ 10/19/2020

Parameter Norm Growth During Training of Transformers

The capacity of neural networks like the widely adopted transformer is k...

0 William Merrill, et al. ∙

research

∙ 10/16/2020

It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT

Recent works have demonstrated that multilingual BERT (mBERT) learns ric...

10 Hila Gonen, et al. ∙

research

∙ 10/15/2020

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

Trust is a central component of the interaction between people and AI, i...

0 Alon Jacovi, et al. ∙

research

∙ 10/12/2020

The Extraordinary Failure of Complement Coercion Crowdsourcing

Crowdsourcing has eased and scaled up the collection of linguistic annot...

3 Yanai Elazar, et al. ∙

Yoav Goldberg

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