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20172022
most citedEmergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

54 citations · 108 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2021★ 2 cited

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Fangyu Liu, Yunlong Jiao, Jordan Massiah +2

In NLP, a large volume of tasks involve pairwise comparison between two sequences (e.g. sentence similarity and paraphrase identification). Predominantly, two formulations are used…

cs.CL2019★ 17 cited

The Emergence of Compositional Languages for Numeric Concepts Through Iterated Learning in Neural Agents

Shangmin Guo, Yi Ren, Serhii Havrylov +3

Since first introduced, computer simulation has been an increasingly important tool in evolutionary linguistics. Recently, with the development of deep learning techniques, researc…

cs.CL2019

Obfuscation for Privacy-preserving Syntactic Parsing

Zhifeng Hu, Serhii Havrylov, Ivan Titov +1

The goal of homomorphic encryption is to encrypt data such that another party can operate on it without being explicitly exposed to the content of the original data. We introduce a…

cs.CL2019★ 4 cited

Cooperative Learning of Disjoint Syntax and Semantics

Serhii Havrylov, Germán Kruszewski, Armand Joulin

There has been considerable attention devoted to models that learn to jointly infer an expression's syntactic structure and its semantics. Yet, \citet{NangiaB18} has recently shown…

cs.CL2017★ 26 cited

Embedding Words as Distributions with a Bayesian Skip-gram Model

Arthur Bražinskas, Serhii Havrylov, Ivan Titov

We introduce a method for embedding words as probability densities in a low-dimensional space. Rather than assuming that a word embedding is fixed across the entire text collection…