activity
20142023
most citedAnalysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

61 citations · 64 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2023

Grammatical information in BERT sentence embeddings as two-dimensional arrays

Vivi Nastase, Paola Merlo

Sentence embeddings induced with various transformer architectures encode much semantic and syntactic information in a distributed manner in a one-dimensional array. We investigate…

cs.CL2020

Semantic Relations and Deep Learning

Vivi Nastase, Stan Szpakowicz

The second edition of "Semantic Relations Between Nominals" by Vivi Nastase, Stan Szpakowicz, Preslav Nakov and Diarmuid Ó Séaghdha has been published in April 2021 by Morgan & Cla…

cs.CL2019

Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting

Maria Becker, Michael Staniek, Vivi Nastase +1

Commonsense knowledge relations are crucial for advanced NLU tasks. We examine the learnability of such relations as represented in CONCEPTNET, taking into account their specific p…

cs.AI2017★ 61 cited

Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs

Bhushan Kotnis, Vivi Nastase

Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective struc…

cs.AI2017★ 2 cited

Learning Knowledge Graph Embeddings with Type Regularizer

Bhushan Kotnis, Vivi Nastase

Learning relations based on evidence from knowledge bases relies on processing the available relation instances. Many relations, however, have clear domain and range, which we hypo…

cs.CL2014★ 1 cited

Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic Models and Encyclopedic Knowledge

Vivi Nastase, Angela Fahrni

We present a method for coarse-grained cross-lingual alignment of comparable texts: segments consisting of contiguous paragraphs that discuss the same theme (e.g. history, economy)…