1.3k citations · 3.2k across the 44 of their papers we have counts for
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Hierarchy Builder: Organizing Textual Spans into a Hierarchy to Facilitate Navigation
Itay Yair, Hillel Taub-Tabib, Yoav Goldberg
Information extraction systems often produce hundreds to thousands of strings on a specific topic. We present a method that facilitates better consumption of these strings, in an e…
Unsupervised Mapping of Arguments of Deverbal Nouns to Their Corresponding Verbal Labels
Aviv Weinstein, Yoav Goldberg
Deverbal nouns are nominal forms of verbs commonly used in written English texts to describe events or actions, as well as their arguments. However, many NLP systems, and in partic…
An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation
Amit Moryossef, Mathias Müller, Anne Göhring +3
Sign language translation systems are complex and require many components. As a result, it is very hard to compare methods across publications. We present an open-source implementa…
Conjunct Resolution in the Face of Verbal Omissions
Royi Rassin, Yoav Goldberg, Reut Tsarfaty
Verbal omissions are complex syntactic phenomena in VP coordination structures. They occur when verbs and (some of) their arguments are omitted from subsequent clauses after being…
F-coref: Fast, Accurate and Easy to Use Coreference Resolution
Shon Otmazgin, Arie Cattan, Yoav Goldberg
We introduce fastcoref, a python package for fast, accurate, and easy-to-use English coreference resolution. The package is pip-installable, and allows two modes: an accurate mode…
LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
Shon Otmazgin, Arie Cattan, Yoav Goldberg
While coreference resolution typically involves various linguistic challenges, recent models are based on a single pairwise scorer for all types of pairs. We present LingMess, a ne…
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?
Hila Gonen, Yova Kementchedjhieva, Yoav Goldberg
Many natural languages assign grammatical gender also to inanimate nouns in the language. In such languages, words that relate to the gender-marked nouns are inflected to agree wit…
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva, Yoav Goldberg, Jonathan Berant
Crowdsourcing has been the prevalent paradigm for creating natural language understanding datasets in recent years. A common crowdsourcing practice is to recruit a small number of…
Towards better substitution-based word sense induction
Asaf Amrami, Yoav Goldberg
Word sense induction (WSI) is the task of unsupervised clustering of word usages within a sentence to distinguish senses. Recent work obtain strong results by clustering lexical su…
Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution
Yanai Elazar, Yoav Goldberg
We provide the first computational treatment of fused-heads constructions (FH), focusing on the numeric fused-heads (NFH). FHs constructions are noun phrases (NPs) in which the hea…
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef, Yoav Goldberg, Ido Dagan
Data-to-text generation can be conceptually divided into two parts: ordering and structuring the information (planning), and generating fluent language describing the information (…
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages
Shauli Ravfogel, Yoav Goldberg, Tal Linzen
How do typological properties such as word order and morphological case marking affect the ability of neural sequence models to acquire the syntax of a language? Cross-linguistic c…
Aligning Vector-spaces with Noisy Supervised Lexicons
Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg
The problem of learning to translate between two vector spaces given a set of aligned points arises in several application areas of NLP. Current solutions assume that the lexicon w…
Filling Gender & Number Gaps in Neural Machine Translation with Black-box Context Injection
Amit Moryossef, Roee Aharoni, Yoav Goldberg
When translating from a language that does not morphologically mark information such as gender and number into a language that does, translation systems must "guess" this missing i…
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
Hila Gonen, Yoav Goldberg
Word embeddings are widely used in NLP for a vast range of tasks. It was shown that word embeddings derived from text corpora reflect gender biases in society. This phenomenon is p…
Assessing BERT's Syntactic Abilities
Yoav Goldberg
I assess the extent to which the recently introduced BERT model captures English syntactic phenomena, using (1) naturally-occurring subject-verb agreement stimuli; (2) "coloreless…
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training
Hila Gonen, Yoav Goldberg
We focus on the problem of language modeling for code-switched language, in the context of automatic speech recognition (ASR). Language modeling for code-switched language is chall…
Adversarial Removal of Demographic Attributes from Text Data
Yanai Elazar, Yoav Goldberg
Recent advances in Representation Learning and Adversarial Training seem to succeed in removing unwanted features from the learned representation. We show that demographic informat…
Understanding Convolutional Neural Networks for Text Classification
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
We present an analysis into the inner workings of Convolutional Neural Networks (CNNs) for processing text. CNNs used for computer vision can be interpreted by projecting filters i…
Word Sense Induction with Neural biLM and Symmetric Patterns
Asaf Amrami, Yoav Goldberg
An established method for Word Sense Induction (WSI) uses a language model to predict probable substitutes for target words, and induces senses by clustering these resulting substi…
Breaking NLI Systems with Sentences that Require Simple Lexical Inferences
Max Glockner, Vered Shwartz, Yoav Goldberg
We create a new NLI test set that shows the deficiency of state-of-the-art models in inferences that require lexical and world knowledge. The new examples are simpler than the SNLI…
Split and Rephrase: Better Evaluation and a Stronger Baseline
Roee Aharoni, Yoav Goldberg
Splitting and rephrasing a complex sentence into several shorter sentences that convey the same meaning is a challenging problem in NLP. We show that while vanilla seq2seq models c…
Controlling Linguistic Style Aspects in Neural Language Generation
Jessica Ficler, Yoav Goldberg
Most work on neural natural language generation (NNLG) focus on controlling the content of the generated text. We experiment with controlling several stylistic aspects of the gener…
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Emile Enguehard, Yoav Goldberg, Tal Linzen
Recent work has explored the syntactic abilities of RNNs using the subject-verb agreement task, which diagnoses sensitivity to sentence structure. RNNs performed this task well in…