Goran Glavaš

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Ivan VulićPrincipal Research Associate, University of Cambridge & PolyAIVerified email at cam.ac.uk
Simone Paolo PonzettoProfessor of Information Systems, University of MannheimVerified email at uni-mannheim.de
Anne LauscherProfessor of Data Science at the University of HamburgVerified email at uni-hamburg.de
Jan SnajderProf of Computer Science at Uni Zagreb, FER, CroatiaVerified email at fer.unizg.hr
Anna KorhonenProfessor, Artificial Intelligence, University of CambridgeVerified email at cam.ac.uk
Edoardo M. PontiUniversity of Edinburgh / NVIDIAVerified email at ed.ac.uk
Robert LitschkoPostdoc, LMU MunichVerified email at lmu.de
Bojana Dalbelo BasicUniversity of Zagreb Faculty of Electrical Engineering and ComputingVerified email at fer.hr
Federico NanniSenior Research Data Scientist, The Alan Turing InstituteVerified email at turing.ac.uk
Marie-Francine MoensProfessor of Computer Science KU LeuvenVerified email at cs.kuleuven.be
Laura DietzUniversity of New HampshireVerified email at unh.edu
Parisa KordjamshidiAssociate Professor, CSE, Michigan State University, Research Scientist at IHMCVerified email at msu.edu
Anđelo MartinovićuniqFEED AG, formerly KU LeuvenVerified email at uniqfeed.com
Stefano FaralliSapienza University of RomeVerified email at di.uniroma1.it
Sanja ŠtajnerIndependent Researcher

Goran Glavaš

Other namesGoran Glavas, Goran Glavavs

Professor of Computer Science (Chair for Natural Language Processing), University of Würzburg

Verified email at uni-wuerzburg.de - Homepage

Natural Language Processing Information retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	328*	2020
Takelab: Systems for measuring semantic text similarity F Šarić, G Glavaš, M Karan, J Šnajder, BD Bašić SemEval 2012, 441-448, 2012	291	2012
Probing pretrained language models for lexical semantics I Vulić, EM Ponti, R Litschko, G Glavaš, A Korhonen EMNLP 2020, 7222-7240, 2020	239	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	212	2020
Simplifying lexical simplification: Do we need simplified corpora? G Glavaš, S Štajner ACL 2015, 63-68, 2015	205	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	199	2019
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	150	2021
Unsupervised text segmentation using semantic relatedness graphs G Glavaš, F Nanni, SP Ponzetto *SEM 2016, 125-130, 2016	130	2016
Sustainable modular debiasing of language models A Lauscher, T Lueken, G Glavaš Findings of the ACL: EMNLP 2021, 2021	126	2021
Event graphs for information retrieval and multi-document summarization G Glavaš, J Šnajder Expert systems with applications 41 (15), 6904-6916, 2014	117	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	113*	2020
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? I Vulić, G Glavaš, R Reichart, A Korhonen EMNLP 2019, 4406-4417, 2019	100	2019
Explicit Retrofitting of Distributional Word Vectors G Glavaš, I Vulić ACL 2018, 34-45, 2018	89	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	83	2020
Unsupervised cross-lingual information retrieval using monolingual data only R Litschko, G Glavaš, SP Ponzetto, I Vulić SIGIR 2018, 1253-1256, 2018	83	2018
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	82	2021
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation G Glavaš, I Vulić EACL 2021, 3090-3104, 2021	71*	2021
XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages G Glavaš, M Karan, I Vulić COLING 2020, 6350-6365, 2020	71	2020
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	71	2020
Are we consistently biased? multidimensional analysis of biases in distributional word vectors A Lauscher, G Glavaš *SEM 2019, 85-91, 2019	65	2019

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