activity
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

collaborators

51 papers

cs.CL2023

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…

cs.CL2023

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…

cs.CL2023★ 5 cited

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…

cs.CL2023

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…

cs.CL2022★ 2 cited

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…

cs.CL2022★ 2 cited

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…