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20122023
most citedword2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method

1.3k citations · 3.2k across the 44 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

cs.CL2019

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…

cs.LG2019

Transfer Learning Between Related Tasks Using Expected Label Proportions

Matan Ben Noach, Yoav Goldberg

Deep learning systems thrive on abundance of labeled training data but such data is not always available, calling for alternative methods of supervision. One such method is expecta…

cs.CL2019★ 1 cited

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…

cs.CL2019★ 50 cited

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…

cs.CL2019

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…

cs.PL2019★ 8 cited

Towards Neural Decompilation

Omer Katz, Yuval Olshaker, Yoav Goldberg +1

We address the problem of automatic decompilation, converting a program in low-level representation back to a higher-level human-readable programming language. The problem of decom…