List of works - Yoav Goldberg

A Little Is Enough: Circumventing Defenses For Distributed Learning ⬇️

A Tabular Method for Dynamic Oracles in Transition-Based Parsing

scholarly article

A criticism of "On the Dangers of Stochastic Parrots: Can Languae Models be Too Big" ⬇️

a 2021 article by Yoav Goldberg

Analysis of sentence embedding models using prediction tasks in natural language processing

scientific article published in July 2017

Assessing BERT's Syntactic Abilities ⬇️

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

scientific article published in 2016

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies ⬇️

Break It Down: A Question Understanding Benchmark ⬇️

scientific article published on 31 January 2020

Deep multi-task learning with low level tasks supervised at lower layers ⬇️

scholarly article published August 2016

Dependency-based word embeddings ⬇️

article

Easy-First Dependency Parsing with Hierarchical Tree LSTMs

scholarly article

Extracting automata from recurrent neural networks using queries and counterexamples (extended version)

scientific article published in 2022

From Raw Text to Universal Dependencies - Look, No Tags! ⬇️

From centralized to ad-hoc knowledge base construction for hypotheses generation

Improving Distributional Similarity with Lessons Learned from Word Embeddings

scientific article published in 2015

Improving Distributional Similarity with Lessons Learned from Word Embeddings ⬇️

scientific article published in 2015

Improving sentence compression by learning to predict gaze ⬇️

scientific article published on 12 April 2016

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge ⬇️

scientific article published in November 2020

Learning Deterministic Weighted Automata with Queries and Counterexamples ⬇️

Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches

scientific article published on 09 January 2019

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ⬇️

Neural word embedding as implicit matrix factorization ⬇️

scientific article (publication date: 2014)

On-the-fly Operation Batching in Dynamic Computation Graphs ⬇️

scientific article published in January 2017

Ontology Evaluation through Text Classification

scientific article published on 18 August 2009

Rich Parameterization Improves RNA Structure Prediction ⬇️

scientific article published on October 28, 2011

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

scholarly article

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

scientific article published on 6 April 2019

Training Deterministic Parsers with Non-Deterministic Oracles

scholarly article

Using computerized text analysis to examine associations between linguistic features and clients' distress during psychotherapy

scientific article published on 30 April 2020

Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution

scholarly article

word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method ⬇️

scientific article published on 15 February 2014

List of works by Yoav Goldberg

A Little Is Enough: Circumventing Defenses For Distributed Learning ⬇️

A Tabular Method for Dynamic Oracles in Transition-Based Parsing

A criticism of "On the Dangers of Stochastic Parrots: Can Languae Models be Too Big" ⬇️

Analysis of sentence embedding models using prediction tasks in natural language processing

Assessing BERT's Syntactic Abilities ⬇️

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies ⬇️

Break It Down: A Question Understanding Benchmark ⬇️

Deep multi-task learning with low level tasks supervised at lower layers ⬇️

Dependency-based word embeddings ⬇️

Easy-First Dependency Parsing with Hierarchical Tree LSTMs

Extracting automata from recurrent neural networks using queries and counterexamples (extended version)

From Raw Text to Universal Dependencies - Look, No Tags! ⬇️

From centralized to ad-hoc knowledge base construction for hypotheses generation

Improving Distributional Similarity with Lessons Learned from Word Embeddings

Improving Distributional Similarity with Lessons Learned from Word Embeddings ⬇️

Improving sentence compression by learning to predict gaze ⬇️

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge ⬇️

Learning Deterministic Weighted Automata with Queries and Counterexamples ⬇️

Mining fall-related information in clinical notes: Comparison of rule-based and novel word embedding-based machine learning approaches

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ⬇️

Neural word embedding as implicit matrix factorization ⬇️

On-the-fly Operation Batching in Dynamic Computation Graphs ⬇️

Ontology Evaluation through Text Classification

Rich Parameterization Improves RNA Structure Prediction ⬇️

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

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

Training Deterministic Parsers with Non-Deterministic Oracles

Using computerized text analysis to examine associations between linguistic features and clients' distress during psychotherapy

Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution

word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method ⬇️