Goran Glavaš
Goran Glavaš
Other namesGoran Glavas
Professor of Computer Science (Chair for Natural Language Processing), University of Würzburg
Verified email at - Homepage
Cited by
Cited by
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
Takelab: Systems for measuring semantic text similarity
F Šarić, G Glavaš, M Karan, J Šnajder, BD Bašić
SemEval 2012, 441-448, 2012
Probing pretrained language models for lexical semantics
I Vulić, EM Ponti, R Litschko, G Glavaš, A Korhonen
EMNLP 2020, 7222-7240, 2020
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
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
RedditBias: A real-world resource for bias evaluation and debiasing of conversational language models
S Barikeri, A Lauscher, I Vulić, G Glavaš
ACL 2021, 2021
Unsupervised text segmentation using semantic relatedness graphs
G Glavaš, F Nanni, SP Ponzetto
*SEM 2016, 125-130, 2016
Event graphs for information retrieval and multi-document summarization
G Glavaš, J Šnajder
Expert systems with applications 41 (15), 6904-6916, 2014
Specializing unsupervised pretraining models for word-level semantic similarity
A Lauscher, I Vulić, EM Ponti, A Korhonen, G Glavaš
COLING 2020, 1371-1383, 2020
Sustainable modular debiasing of language models
A Lauscher, T Lueken, G Glavaš
Findings of the ACL: EMNLP 2021, 2021
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
I Vulić, G Glavaš, R Reichart, A Korhonen
EMNLP 2019, 4406-4417, 2019
Explicit Retrofitting of Distributional Word Vectors
G Glavaš, I Vulić
ACL 2018, 34-45, 2018
Unsupervised cross-lingual information retrieval using monolingual data only
R Litschko, G Glavaš, SP Ponzetto, I Vulić
SIGIR 2018, 1253-1256, 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
MAD-G: Multilingual adapter generation for efficient cross-lingual transfer
A Ansell, EM Ponti, J Pfeiffer, S Ruder, G Glavaš, I Vulić, A Korhonen
Findings of the ACL: EMNLP 2021, 4762-4781, 2021
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation
G Glavaš, I Vulić
EACL 2021, 3090-3104, 2021
XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages
G Glavaš, M Karan, I Vulić
COLING 2020, 6350-6365, 2020
Are we consistently biased? multidimensional analysis of biases in distributional word vectors
A Lauscher, G Glavaš
*SEM 2019, 85-91, 2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces.
A Lauscher, G Glavas, SP Ponzetto, I Vulic
AAAI 2020, 8131-8138, 2020
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