Goran Glavaš
Goran Glavaš
Other namesGoran Glavas
Professor (Chair for Natural Language Processing, Informatik XII), University of Würzburg
Verified email at - Homepage
Cited by
Cited by
Takelab: Systems for measuring semantic text similarity
F Šarić, G Glavaš, M Karan, J Šnajder, BD Bašić
SemEval 2012, 441-448, 2012
Simplifying lexical simplification: Do we need simplified corpora?
G Glavaš, S Štajner
ACL 2015, 63-68, 2015
How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
G Glavaš, R Litschko, S Ruder, I Vulić
ACL 2019, 710-721, 2019
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers
A Lauscher, V Ravishankar, I Vulić, G Glavaš
EMNLP 2020, 4483-4499, 2020
Probing pretrained language models for lexical semantics
I Vulić, EM Ponti, R Litschko, G Glavaš, A Korhonen
EMNLP 2020, 7222-7240, 2020
Event graphs for information retrieval and multi-document summarization
G Glavaš, J Šnajder
Expert systems with applications 41 (15), 6904-6916, 2014
Unsupervised text segmentation using semantic relatedness graphs
G Glavaš, F Nanni, SP Ponzetto
*SEM 2016, 125-130, 2016
Unsupervised cross-lingual information retrieval using monolingual data only
R Litschko, G Glavaš, SP Ponzetto, I Vulić
SIGIR 2018, 1253-1256, 2018
Explicit Retrofitting of Distributional Word Vectors
G Glavaš, I Vulić
ACL 2018, 34-45, 2018
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
I Vulić, G Glavaš, R Reichart, A Korhonen
EMNLP 2019, 4406-4417, 2019
Specializing unsupervised pretraining models for word-level semantic similarity
A Lauscher, I Vulić, EM Ponti, A Korhonen, G Glavaš
COLING 2020, 1371-1383, 2020
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
EM Ponti, G Glavaš, O Majewska, Q Liu, I Vulić, A Korhonen
EMNLP 2020, 2362-2376, 2020
A resource-light method for cross-lingual semantic textual similarity
G Glavaš, M Franco-Salvador, SP Ponzetto, P Rosso
Knowledge-based systems 143, 1-9, 2018
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation
G Glavaš, I Vulić
EACL 2021, 3090-3104, 2021
Are we consistently biased? multidimensional analysis of biases in distributional word vectors
A Lauscher, G Glavaš
*SEM 2019, 85-91, 2019
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
EM Ponti, I Vulić, G Glavaš, N Mrkšić, A Korhonen
EMNLP 2018, 282-293, 2018
Post-specialisation: Retrofitting vectors of words unseen in lexical resources
I Vulić, G Glavaš, N Mrkšić, A Korhonen
NAACL 2018, 516-527, 2018
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
A Lauscher, O Majewska, LFR Ribeiro, I Gurevych, N Rozanov, G Glavaš
Deep Learning Inside Out Workshop (DeeLIO), 43-49, 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation
W Zhao, G Glavaš, M Peyrard, Y Gao, R West, S Eger
ACL 2020, 1656-1671, 2020
An argument-annotated corpus of scientific publications
A Lauscher, G Glavaš, SP Ponzetto
Association for Computational Linguistics, 2018
The system can't perform the operation now. Try again later.
Articles 1–20