Gregor Geigle, Radu Timofte, and Goran Glavaš. Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear.
Gregor Geigle, Radu Timofte, and Goran Glavaš. African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear.
Fabian David Schmidt, Phillipp Borchert, Ivan Vulić, and Goran Glavaš. Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages. In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear.
Andreea Iana, Goran Glavaš, and Heiko Paulheim. Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation. In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear.
Adrian Rebmann, Fabian David Schmidt, Goran Glavaš, and Han van der Aa. Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks. In Proceedings of the International Conference on Process Mining (ICPM), to appear.
Herrlein, Janek, Chia-Chien Hung, and Goran Glavaš. ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection. In Proceedings of the ACL: Student Research Workshop, to appear.
Gregor Geigle, Radu Timofte, and Goran Glavaš. Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 24), to appear.
Indraneil Paul, Goran Glavaš, and Iryna Gurevych. IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 24), to appear. (Oustanding Paper Award).
Nikola Ljubešić, Taja Kuzman, Peter Rupnik, Ivan Vulić, Fabian Schmidt, and Goran Glavaš. JSI and WüNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far. In Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024), pp. 209-219.
Chifu, Adrian-Gabriel, Goran Glavaš, Radu Tudor Ionescu, Nikola Ljubešić, Aleksandra Miletić, Filip Miletić, Yves Scherrer, and Ivan Vulić. VarDial evaluation campaign 2024: Commonsense reasoning in dialects and multi-label similar language identification. In Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024), pp. 1-15.
Ebing, Benedikt, and Goran Glavaš. To Translate or Not to Translate: A Systematic Investigation of Translation-Based Cross-Lingual Transfer to Low-Resource Languages. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 5325-5344. 2024.
Evgeniia Razumovskaia, Goran Glavaš, Anna Korhonen, and Ivan Vulić. SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 8188-8204.
Minh Duc Bui, Fabian Schmidt, Goran Glavaš, and Katharina Von Der Wense. 2024. Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget. In Proceedings of the Fifth Workshop on Insights from Negative Results in NLP. pp 41–47.
David Dukić, Kiril Gashteovski, Goran Glavaš, and Jan Šnajder. Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection. In Findings of the Association for Computational Linguistics: EACL 2024, pp. 1197-1213. 2024.
Lütfi Kerem Senel, Benedikt Ebing, Konul Baghirova, Hinrich Schütze, and Goran Glavaš. Kardeş-NLU: Transfer to Low-Resource Languages with the Help of a High-Resource Cousin–A Benchmark and Evaluation for Turkic Languages. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1672-1688. 2024. Oustanding Paper Award.
Nikoleta Yordanova, Aleksandra Khokhlova, Anastasia Ershova, Fabian David Schmidt, and Goran Glavaš. Curb EU enthusiasm: how politicisation shapes bureaucratic responsiveness. West European Politics (2024): 1-26.
Andreea Iana, Goran Glavaš, and Heiko Paulheim. MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 553-563. 2024.
Valentin Hofmann, Goran Glavaš, Nikola Ljubešić, Janet B. Pierrehumbert, and Hinrich Schütze. 2024. Geographic Adaptation of Pretrained Language Models. Transactions of the Association for Computational Linguistics, 12, 411–431. Cambridge, MA: MIT Press. DOI: 10.1162/tacl_a_00652. Available at https://aclanthology.org/2024.tacl-1.23.
Gretel De la Peña Sarracén, Paolo Rosso, Robert Litschko, Goran Glavaš, and Simone Ponzetto. 2023. Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 4069–4085.
Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, and Goran Glavaš. 2023. Linking Surface Facts to Large-Scale Knowledge Graphs. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7189–7207.
Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Patel, Goran Glavaš, and Iryna Gurevych. 2023. AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 3420–3434.
Fabian David Schmidt, Ivan Vulić, and Goran Glavaš. 2023. One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging for Cross-Lingual Transfer. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 12186–12193.
Andreea Iana, Goran Glavaš, and Heiko Paulheim. 2023. NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 296–310.
Onur Galoğlu, Robert Litschko, and Goran Glavaš. 2023. A General-Purpose Multilingual Document Encoder. In Proceedings of the 3rd Workshop on Multilingual Representation Learning (MRL), pages 37–49.
Youmi Ma, Bushan Kotnis, Carolin Lawrence, Goran Glavaš and Naoaki Okazaki. (2023, December). Improving Cross-Lingual Transfer for Open Information Extraction with Linguistic Feature Projection. In Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL) (pp. 125-138).
Tommaso Green, Simone Paolo Ponzetto, and Goran Glavaš. 2023. Massively Multilingual Lexical Specialization of Multilingual Transformers. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7700–7715.
Fabian David Schmidt, Ivan Vulić, and Goran Glavaš. 2023. Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5712–5730.
Andreea Iana, Goran Glavaš, and Heiko Paulheim. (2023, July). Simplifying content-based neural news recommendation: On user modeling and training objectives. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2384-2388).
Vésteinn Snæbjarnarson, Annika Simonsen, Goran Glavaš and Ivan Vulić. (2023, May). Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) (pp. 728-737).
Ivan Vulić, Goran Glavaš, Fangyu Liu, Nigel Collier, Edoardo Maria Ponti and Anna Korhonen. Exposing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2089--2105, Dubrovnik, 2023.
Mohsen Mesgar, Thy Tran, Goran Glavaš and Iryna Gurevych. The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent . In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 1846-1857, Dubrovnik, 2023.
Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto and Goran Glavaš. On the Limitations of Sociodemographic Adaptation with Transformers. In Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 1565-1580, Dubrovnik, 2023.
Fabian David Schmidt, Ivan Vulić, and Goran Glavaš. SLICER: Sliced Fine-Tuning for Low-Resource Cross-Lingual Transfer for Named Entity Recognition. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear, Abu Dhabi, 2022.
Fabian David Schmidt, Ivan Vulić, and Goran Glavaš. Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). to appear, Abu Dhabi, 2022.
Robert Litschko, Ivan Vulić, and Goran Glavaš. Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval. Proceedings of the 29th International Conference on Computational Linguistics (COLING). to appear, Gyeongju, 2022.
Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, and Goran Glavaš. Scientia Potentia Est — On the Role of Knowledge in Computational Argumentation. Transactions of the Association of Computational Linguistics (TACL), to appear.
Evgeniia Razumovskaia, Goran Glavaš, Olga Majewska, Edoardo M. Ponti, Anna Korhonen, and Ivan Vulić. Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems. Journal of Artificial Intelligence Research, vol. 74 (2022), pp 1351-1402.
Federico Nanni, Goran Glavaš, Ines Rehbein, Simone Paolo Ponzetto, and Heiner Stuckenschmidt. Political Text Scaling Meets Computational Semantics. ACM/IMS Transactions on Data Science (TDS), 2(4), 1-27.
Hung, C. C., Green, T., Litschko, R., Tsereteli, T., Takeshita, S., Bombieri, M., Glavaš, G. & Ponzetto, S. P. (2022). ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System. Proceedings of the Workshop on Multilingual Information Access (MIA). 77-90, Seattle, 2022.
Chia-Chien Hung, Anne Lauscher, Ivan Vulić, Simone Paolo Ponzetto, and Goran Glavaš. Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 3687-3703, Seattle, 2022.
Marinela Parović, Goran Glavaš, Ivan Vulić, and Anna Korhonen. BAD-X: Bilingual Adapters Improve Zero-Shot Cross-Lingual Transfer. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 1791-1799, Seattle, 2022.
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, and Goran Glavaš. AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL 22 Demos). p. 44-60, Dublin, 2022.
Chia-Chien Hung, Anne Lauscher, Simone Paolo Ponzetto, and Goran Glavaš. DS-TOD: Efficient Domain Specialization for Task Oriented Dialog. Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 22 Findings).891-904, Dublin, 2022.
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, and Goran Glavaš. BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 22).4472-4490, Dublin, 2022.
Robert Litschko, Ivan Vulić, Simone Paolo Ponzetto, and Goran Glavaš. On Cross-Lingual Retrieval with Multilingual Text Encoders. Information Retrieval Journal (2022), 25(2), 149-183.
Anne Lauscher*, Tobias Lüken*, and Goran Glavaš. Sustainable Modular Debiasing of Laguage Models. Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 4782-4797, Online & Punta Cana, 2021.
Alan Ansell, Edoardo Maria Ponti, Jonas Pfeiffer, Sebastian Ruder, Goran Glavaš, Ivan Vulić, and Anna Korhonen. MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer. Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 4762-4781, Online & Punta Cana, 2021.
Goran Glavaš and Ivan Vulić. Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection. Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Findings). p. 4878-4888, Online, 2021.
Soumya Barikeri, Anne Lauscher, Ivan Vulić and Goran Glavaš. RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Main Conference).1941-1955, Online, 2021.
Ivan Vulić, Edoardo Maria Ponti, Anna Korhonen and Goran Glavaš. LexFit: Lexical Fine-Tuning of Pretrained Language Models. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Main Conference). p. 5269-5283, Online, 2021.
Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti and Anna Korhonen. Verb Knowledge Injection for Multilingual Event Processing. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, Main Conference). p. 6952-6969, Online, 2021.
Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, Shigeo Morishima. Visual Summary Identification from Scientific Publications via Self-Supervised Learning. Journal: Frontiers in Research Metrics and Analytics (Section Text-mining and Literature-Based Discovery), 56. .
Celina Kirschner, Tobias Walter, Steffen Eger, Goran Glavaš, Anne Lauscher and Simone Paolo Ponzetto. Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL). p. 51-60.
Ivan Štajduhar, Teo Manojlović, Franko Hržić, Mateja Napravnik, Goran Glavaš, Matija Milanič, Sebastian Tschauner, Mihaela Mamula Saračević, Damir Miletić. Analysing Large Repositories of Medical Images. International Conference on Bioengineering, Biomedical Signal and Image Processing (BIOMESIP-21).
Goran Glavaš and Ivan Vulić. Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 3090-3104, Online, 2021 (Best long paper award).
Niklas Friedrich, Anne Lauscher, Simone Paolo Ponzetto, and Goran Glavaš. DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (EACL Demos). 91-98, Online, 2021.
Leon Schüller, Florian Wilhelm, Nico Kreiling, and Goran Glavaš. Windowing Models for Abstractive Summarization of Long Texts. Proceedings of the 43rd European Conference on Information Retrieval (ECIR), Part II. 384-392, Online, 2021.
Robert Litschko, Ivan Vulić, Simone Paolo Ponzetto and Goran Glavaš. Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval. Proceedings of the 43rd European Conference on Information Retrieval (ECIR), Part I. 342-358, Online, 2021.
Goran Glavaš, Ananya Ganesh, and Swapna Somasundaran. Training and Domain Adaptation for Supervised Text Segmentation. Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications (BEA). 110-116, Online, 2021
Shintaro Yamamoto, Anne Lauscher, Simone Paolo Ponzetto, Goran Glavaš, and Shigeo Morishima. Self-Supervised Learning for Visual Summary Identification in Scientific Publications. Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval. pp. 5-19, Online, 2021.
Anne Lauscher, Ivan Vulić, Edoardo Maria Ponti, Anna Korhonen and Goran Glavaš. Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity. Proceedings of the 28th International Conference on Computational Linguistics (COLING).1371-1383, Online, 2020.
Goran Glavaš*, Mladen Karan* and Ivan Vulić*. XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages. Proceedings of the 28th International Conference on Computational Linguistics (COLING). 6350-6365, Online, 2020. (*equal contribution)
Robert Litschko, Ivan Vulić, Željko Agić and Goran Glavaš. Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers. Proceedings of the 28th International Conference on Computational Linguistics (COLING). 3886-3898, Online, 2020.
Goran Glavaš, Ivan Vulić, Anna Korhonen and Simone Paolo Ponzetto. SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment. Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2020). 24-35, to appear, Online, 2020.
Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov and Goran Glavaš. Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. Proceedings of the the First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures (DeeLIO). 59-66, Online, 2020.
Anne Lauscher, Vinit Ravishankar, Ivan Vulić, Goran Glavaš. From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 4483-4499, Online, 2020.
Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, Goran Glavaš and Anna Korhonen. Probing Pretrained Language Models for Lexical Semantics. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 7222-7240, Online, 2020.
Edoardo Maria Ponti*, Goran Glavaš*, Olga Majewska, Qianchu Liu, Ivan Vulić, and Anna Korhonen. XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2362-2376, Online, 2020. (*equal contribution)
Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto and Goran Glavaš. AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings. Proceedings of the Fifth Arabic Natural Language Processing Workshop (WANLP 2020). to appear, Online, 2020.
Ralph Peeters, Christian Bizer, and Goran Glavaš. Intermediate Training of BERT for Product Matching. Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs (DI2KG), Held in conjunction with VLDB 2020. 1-5, Online, 2020.
Ivan Vulić, Anna Korhonen, and Goran Glavaš. Improving Bilingual Lexicon Induction with Unsupervised Post-Processing of Monolingual Word Vector Spaces. Proceedings of the The 5th Workshop on Representation Learning for NLP (RepL4NLP-2020). 45-54, Online, 2020. Best Paper Award.
Goran Glavaš and Ivan Vulić. Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). 7548-7555, Online, 2020.
Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West and Steffen Eger. On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). 1656-1671, Online, 2020.
Mladen Karan, Ivan Vulić, Anna Korhonen and Goran Glavaš. Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). 6915-6922, Online, 2020.
Ivan Krsnik, Goran Glavaš, Marina Krsnik, Damir Miletić, Ivan Štajduhar. Automatic Annotation of Narrative Radiology Reports. Diagnostics, Volume 10, Issue 4, 196-210, 2020.
Anne Lauscher, Goran Glavaš, Simone Paolo Ponzetto and Ivan Vulić. A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces. Proceedings of the The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, 2020.
Goran Glavaš and Swapna Somasundaran. Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation. Proceedings of the The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, 2020.
Ivan Vulić, Goran Glavaš, Roi Reichart and Anna Korhonen. Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 4406-4417, Hong Kong, 2019.
Edoardo Maria Ponti, Ivan Vulić, Goran Glavaš, Roi Reichart and Anna Korhonen. Cross-lingual Semantic Specialization via Lexical Relation Induction. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 2206-2217, Hong Kong, 2019.
Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, and Goran Glavaš. SEAGLE: A Platform for Comparative Evaluation of
Semantic Encoders for Information Retrieval. Proceedings of the Conference on Empirical Methods in Natural Language Processing: System Demonstrations. pages 199-204, Hong Kong, 2019.
Taha Tobaili, Miriam Fernandez, Harith Alani, Goran Glavaš, Sanaa Sharafeddine and Hazem Hajj. SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic Arabizi. Proceedings of the Conference on Recent Advances in Natural Language Processing (RANLP), tpages 1203-1211, Varna, 2019.
Aishwarya Kamath, Jonas Pfeiffer, Edoardo Maria Ponti, Goran Glavaš and Ivan Vulić. Specializing Distributional Vectors of All Words for Lexical Entailment. Proceedings of the 4th Workshop on Representation Learning for Natural Language Processing (Rep4NLP), pages 72-83, Florence, 2019. Best Paper Award.
Goran Glavaš, Robert Litschko, Sebastian Ruder and Ivan Vulić. How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 710-721, Florence, 2019.
Goran Glavaš and Ivan Vulić. Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 4824-4830, Florence, 2019.
Ivan Vulić, Simone Paolo Ponzetto and Goran Glavaš. Multilingual and Cross-Lingual Graded Lexical Entailment. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pages 4963-4974, Florence, 2019.
Bilal Ghanem, Goran Glavaš, Anastasia Giachanou, Simone Paolo Ponzetto, Paolo Rosso and Francisco Rangel. UPV-UMA at CheckThat! Lab: Verifying Arabic Claims using Cross Lingual Approach. In Proceedings of the Conference and Labs of the Evaluation Forum (CLEF), to appear, Lugano, 2019.
Anne Lauscher and Goran Glavaš. Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM), pages 85-91, Minneapolis, 2019.
Robert Litschko, Goran Glavaš, Ivan Vulić and Laura Dietz. Evaluating Resource-Lean Cross-Lingual Embedding Models in Unsupervised Retrieval. In Proceedings of the 42nd Annual International Conference on Research and Development in Information Retrieval (SIGIR), to appear, Paris, 2019.
Goran Glavaš and Ivan Vulić. Zero-Shot Language Transfer for Cross-Lingual Sentence Retrieval with the Bidirectional Attention Model. In the Proceedings of the 41st European Conference on Information Retrieval (ECIR), pages 523-538, Cologne, 2019.
Anne Lauscher, Goran Glavaš, Kai Eckert, and Simone Paolo Ponzetto. Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Model. In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3326-3338, Bruxelles, 2018.
Edoardo Ponti, Ivan Vulić, Goran Glavaš, Nikola Mrkšić, and Anna Korhonen. Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 282-293, Bruxelles, 2018.
Anne Lauscher, Goran Glavaš, and Kai Eckert. ArguminSci: A Tool for Analyzing Argumentation and Rhetorical Aspects in Scientific Writing. In the Proceedings of the Fifth Workshop on Argument Mining (ArgMining), pages 22-28, Bruxelles, 2018.
Anne Lauscher, Goran Glavaš, and Simone Paolo Ponzetto. An Argument-Annotated Corpus of Scientific Publications. In the Proceedings of the Fifth Workshop on Argument Mining (ArgMining), pages 40-46, Bruxelles, 2018.
Goran Glavaš and Ivan Vulić. Explicit Retrofitting of Distributional Word Vectors. In the Proceedings of the The 56th Annual Meeting of the Association for Computational Linguistics (ACL), pages 34-45, Melbourne, 2018.
Robert Litschko, Goran Glavaš, Simone Paolo Ponzetto, and Ivan Vulić. Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only. In the Proceedings of the 41st Annual International Conference on Research and Development in Information Retrieval (SIGIR), pages 1253-1256, Ann Arbor, 2018.
Goran Glavaš and Ivan Vulić. Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model. In the Proceedings of the Sixteenth Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 181-187, New Orleans, 2018.
Ivan Vulić and Goran Glavaš. Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. In the Sixteenth Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), pages 516-527, New Orleans, 2018.
Federico Nanni, Goran Glavaš, Simone Paolo Ponzetto, Sara Tonelli, Nicolo Conti et al. Findings from the Hackathon on Understanding Euroscepticism Through the Lens of Textual Data. In ParlaCLARIN@LREC2018 -- Workshop on Creating and Using Parliamentary Corpora, pages 59-66, Miyazaki, 2018.
Goran Glavaš, Marc Franco-Salvador, Simone Paolo Ponzetto and Paolo Rosso . A Resource-Light Method for Cross-Lingual Semantic Textual Similarity. Knowledge-Based Systems, 2018, Vol. 143, pages 1-9. DOI: https://doi.org/10.1016/j.knosys.2017.11.041
For earlier publications, please check my Google Scholar profile.