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Journal articles

• Williams M, Chrysostomou G, Jeronymo V & Aletras N (2025) Compressing Language Models for Specialized Domains.. CoRR, abs/2502.18424.
• Chrysostomou G, Zhao Z, Williams M & Aletras N (2024) . Transactions of the Association for Computational Linguistics, 12, 1163-1181.
• Vickers P, Barrault L, Monti E & Aletras N (2024) We Need to Talk About Classification Evaluation Metrics in NLP.. CoRR, abs/2401.03831.
• Yamaguchi A, Villavicencio A & Aletras N (2024) An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference.. CoRR, abs/2402.10712.
• Jin M, PreoÅ£iuc-Pietro D, DoÄŸruöz AS & Aletras N (2024) Who is bragging more online? A large scale analysis of bragging in social media. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, 17575-17587.
• Yamaguchi A, Villavicencio A & Aletras N (2024) Vocabulary Expansion for Low-resource Cross-lingual Transfer.. CoRR, abs/2406.11477.
• De Clercq O & Aletras N (2024) Introduction. EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations, IV.
• Zhao Z & Aletras N (2024) Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models.. CoRR, abs/2403.12809.
• Chrysostomou G, Zhao Z, Williams M & Aletras N (2024) Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization.. Trans. Assoc. Comput. Linguistics, 12, 1163-1181.
• Mu Y, Jin M, Song X & Aletras N (2024) Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.. CoRR, abs/2410.03545.
• Williams M, Chrysostomou G & Aletras N (2024) Self-calibration for Language Model Quantization and Pruning.. CoRR, abs/2410.17170.
• Hughes A, Aletras N & Ma N (2024) How Private are Language Models in Abstractive Summarization?. CoRR, abs/2412.12040.
• Yamaguchi A, Morishita T, Villavicencio A & Aletras N (2024) Vocabulary Expansion of Chat Models with Unlabeled Target Language Data.. CoRR, abs/2412.11704.
• Mu Y, Niu P, Bontcheva K & Aletras N (2023) . Expert Systems with Applications, 122791-122791.
• Lalmas M, Zhang M, Santos R, Yilmaz E, Joho H, Ding W, Hauff C, Aletras N, Jaidka K & Alhoori H (2023) . International Conference on Information and Knowledge Management, Proceedings, v.
• Williams M & Aletras N (2023) Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning.. CoRR, abs/2309.08708.
• Xue H & Aletras N (2023) . Findings of the Association for Computational Linguistics: EMNLP 2023.
• Villegas DS, Goanta C & Aletras N (2023) A Multimodal Analysis of Influencer Content on Twitter.. CoRR, abs/2309.03064.
• Villegas DS, Preotiuc-Pietro D & Aletras N (2023) Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks.. CoRR, abs/2309.07794.
• Mu Y, Song X, Bontcheva K & Aletras N (2023) Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.. CoRR, abs/2309.11576.
• Alajrami A, Margatina K & Aletras N (2023) . Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
• Goanta C, Aletras N, Chalkidis I, Ranchordás S & Spanakis G (2023) . Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
• Margatina K, Schick T, Aletras N & Dwivedi-Yu J (2023) . Findings of the Association for Computational Linguistics: EMNLP 2023.
• Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2023) Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.. CoRR, abs/2305.14310.
• Chrysostomou G, Zhao Z, Williams M & Aletras N (2023) Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization.. CoRR, abs/2311.09335.
• Williams M & Aletras N (2023) How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?. CoRR, abs/2311.09755.
• Zhang L, Song H, Aletras N & Lu H (2022) . Pattern Recognition, 108661-108661.
• Li W & Aletras N (2022) Improving Graph-Based Text Representations with Character and Word Level N-grams.. CoRR, abs/2210.05999.
• Mu Y, Niu P & Aletras N (2022) Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media.. CoRR, abs/2204.10080.
• Mu Y & Aletras N (2020) . PeerJ Computer Science, 6.
• Fomicheva M, Sun S, Yankovskaya L, Blain F, Guzmán F, Fishel M, Aletras N, Chaudhary V & Specia L (2020) . Transactions of the Association for Computational Linguistics, 8, 539-555.
• Maronikolakis A, Sánchez Villegas D, Preotiuc-Pietro D & Aletras N (2020) . Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
• Aletras N, Baldwin T, Lau J & Stevenson M (2017) . Journal of the Association for Information Science and Technology, 68(1), 154-167.
• Aletras N, Tsarapatsanis D, PreoÅ£iuc-Pietro D & Lampos V (2016) . PeerJ Computer Science, 2.
• Gonzalez-Agirre A, Rigau G, Agirre E, Aletras N & Stevenson M (2016) . Journal of the Association for Information Science and Technology, 67(7), 1624-1638.
• Aletras N, Stevenson M & Clough P (2012) . Journal of Computing and Cultural Heritage, 5(4).
• Dommett K, Mensah SA, Zhu J, Stafford T & Aletras N () . Journal of Political Marketing, 1-19.
• Chrysostomou G & Aletras N () . Proceedings of the AAAI Conference on Artificial Intelligence, 36(10), 10545-10553.
• Tsarapatsanis D & Aletras N () On the Ethical Limits of Natural Language Processing on Legal Text.
• Chrysostomou G & Aletras N () Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification.
• Villegas DS, Mokaram S & Aletras N () Analyzing Online Political Advertisements.
• Mensah S, Sun K & Aletras N () An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction.
• PreoÅ£iuc-Pietro D, Volkova S, Lampos V, Bachrach Y & Aletras N () . PLoS ONE, 10(9).
• Jin M & Aletras N () Complaint Identification in Social Media with Transformer Networks.
• Yamaguchi A, Chrysostomou G, Margatina K & Aletras N () Frustratingly Simple Pretraining Alternatives to Masked Language Modeling.
• Chrysostomou G & Aletras N () Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience.
• Villegas DS & Aletras N () Point-of-Interest Type Prediction using Text and Images.
• Fomicheva M, Specia L & Aletras N () Translation Error Detection as Rationale Extraction.
• Villegas DS, PreoÅ£iuc-Pietro D & Aletras N () Point-of-Interest Type Inference from Social Media Text.
• Chalkidis I, Fergadiotis M, Kotitsas S, Malakasiotis P, Aletras N & Androutsopoulos I () An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.
• Chalkidis I, Fergadiotis M, Malakasiotis P, Aletras N & Androutsopoulos I () LEGAL-BERT: The Muppets straight out of Law School.
• Chalkidis I, Fergadiotis M, Tsarapatsanis D, Aletras N, Androutsopoulos I & Malakasiotis P () Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases.
• Jin M & Aletras N () Modeling the Severity of Complaints in Social Media.
• Chrysostomou G & Aletras N () Variable Instance-Level Explainability for Text Classification.
• Margatina K, Barrault L & Aletras N () Bayesian Active Learning with Pretrained Language Models.
• Margatina K, Vernikos G, Barrault L & Aletras N () Active Learning by Acquiring Contrastive Examples.
• Chalkidis I, Jana A, Hartung D, Bommarito M, Androutsopoulos I, Katz DM & Aletras N () LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.

Conference proceedings papers

• Williams M & Aletras N (2025) . Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025) (pp 185-196), May 2025 - May 2025.
• Williams M, Chrysostomou G & Aletras N (2025) . Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp 10149-10167), April 2025 - April 2025.
• Jin M, Preotiuc-Pietro D, Dogruöz AS & Aletras N (2024) Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media.. LREC/COLING (pp 17575-17587)
• Soun R, Neerkaje A, Sawhney R, Aletras N & Nakov P (2024) RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp 14134-14145)
• (2024) Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - System Demonstrations, St. Julians, Malta, March 17-22, 2024. EACL (Demonstrations)
• Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2024) Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.. LREC/COLING (pp 12074-12086)
• Villegas DS, Preotiuc-Pietro D & Aletras N (2024) Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks.. EACL (Findings) (pp 1126-1137)
• Mu Y, Song X, Bontcheva K & Aletras N (2024) Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.. LREC/COLING (pp 6739-6751)
• Williams M & Aletras N (2024) On the Impact of Calibration Data in Post-training Quantization and Pruning.. ACL (1) (pp 10100-10118)
• Zhao Z & Aletras N (2024) Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models.. NAACL-HLT (pp 3226-3244)
• Tonolini F, Aletras N, Massiah J & Kazai G (2024) Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models.. ACL (Findings) (pp 12229-12272)
• Mu Y, Jin M, Song X & Aletras N (2024) Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research.. EMNLP (pp 12477-12492)
• De Clercq O & Aletras N (2024) Introduction. PROCEEDINGS OF THE 18TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS (pp IV-IV)
• Sun K, Zhang R, Samuel M, Nikolaos A, Mao Y & Liu X (2023) . Proceedings of the ACM Web Conference 2023
• Mu Y, Bontcheva K & Aletras N (2023) It’s about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023 (pp 724-731)
• Shi Z, Tonolini F, Aletras N, Yilmaz E, Kazai G & Jiao Y (2023) . Findings of the Association for Computational Linguistics: ACL 2023, July 2023 - July 2023.
• Margatina K & Aletras N (2023) . Findings of the Association for Computational Linguistics: ACL 2023, July 2023 - July 2023.
• Mensah S, Sun K & Aletras N (2023) . Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), July 2023 - July 2023.
• Zhao Z & Aletras N (2023) . Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. 1 (pp 4732-4745). Toronto, Canada, 9 July 2023 - 9 July 2023.
• Feng Y, Jiao Y, Prasad A, Aletras N, Yilmaz E & Kazai G (2023) . Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), July 2023 - July 2023.
• Mu Y, Bontcheva K & Aletras N (2023) . Findings of the Association for Computational Linguistics: EACL 2023, May 2023 - May 2023.
• Tonolini F, Aletras N, Jiao Y & Kazai G (2023) Robust Weak Supervision with Variational Auto-Encoders. Proceedings of Machine Learning Research, Vol. 202 (pp 34394-34408)
• Xue H & Aletras N (2023) Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention.. EMNLP (Findings) (pp 10355-10373)
• Alajrami A, Margatina K & Aletras N (2023) Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?. EMNLP (pp 9085-9108)
• Margatina K, Schick T, Aletras N & Dwivedi-Yu J (2023) Active Learning Principles for In-Context Learning with Large Language Models.. EMNLP (Findings) (pp 5011-5034)
• Goanta C, Aletras N, Chalkidis I, Ranchordás S & Spanakis G (2023) Regulation and NLP (RegNLP): Taming Large Language Models.. EMNLP (pp 8712-8724)
• Zhao Z & Aletras N (2023) Incorporating Attribution Importance for Improving Faithfulness Metrics.. ACL (1) (pp 4732-4745)
• Villegas DS, Goanta C & Aletras N (2023) A Multimodal Analysis of Influencer Content on Twitter.. IJCNLP (1) (pp 225-240)
• Vickers P, Barrault L, Monti E & Aletras N (2023) We Need to Talk About Classification Evaluation Metrics in NLP.. IJCNLP (1) (pp 498-510)
• Feng Y, Jiao Y, Prasad A, Aletras N, Yilmaz E & Kazai G (2023) Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues.. ACL (1) (pp 2079-2091)
• Sawhney R, Agarwal S, Neerkaje AT, Aletras N, Nakov P & Flek L (2022) . Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
• Mu Y, Niu P & Aletras N (2022) . 14th ACM Web Science Conference 2022
• Fomicheva M, Specia L & Aletras N (2022) . Findings of the Association for Computational Linguistics: ACL 2022, May 2022 - May 2022.
• Margatina K, Barrault L & Aletras N (2022) . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), May 2022 - May 2022.
• Chalkidis I, Jana A, Hartung D, Bommarito M, Androutsopoulos I, Katz D & Aletras N (2022) . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022 - May 2022.
• Alajrami A & Aletras N (2022) . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), May 2022 - May 2022.
• Bose T, Aletras N, Illina I & Fohr D (2022) . Findings of the Association for Computational Linguistics: ACL 2022, May 2022 - May 2022.
• Jin M, Preotiuc-Pietro D, DoÄŸruöz AS & Aletras N (2022) . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022 - May 2022.
• Chrysostomou G & Aletras N (2022) . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022 - May 2022.
• Ao X, Sanchez Villegas D, Preotiuc-Pietro D & Aletras N (2022) . Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, July 2022 - July 2022.
• Xue H & Aletras N (2022) HashFormers: Towards Vocabulary-independent Pre-trained Transformers. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022 (pp 7862-7874)
• Fomicheva M, Specia L & Aletras N (2022) Translation Error Detection as Rationale Extraction.. ACL (Findings) (pp 4148-4159)
• Zhao Z, Chrysostomou G, Bontcheva K & Aletras N (2022) On the Impact of Temporal Concept Drift on Model Explanations. Findings of the Association for Computational Linguistics: EMNLP 2022 (pp 4068-4083)
• Zhao Z, Chrysostomou G, Bontcheva K & Aletras N (2022) . Findings of the Association for Computational Linguistics: EMNLP 2022, December 2022 - December 2022.
• (2022) Proceedings of the Natural Legal Language Processing Workshop, NLLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. NLLP@EMNLP
• Chalkidis I, Jana A, Hartung D, II MJB, Androutsopoulos I, Katz DM & Aletras N (2022) LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.. ACL (1) (pp 4310-4330)
• Bose T, Aletras N, Illina I & Fohr D (2022) Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection. Proceedings - International Conference on Computational Linguistics, COLING, Vol. 29(1) (pp 6656-6666)
• Alajrami A & Aletras N (2022) How does the pre-training objective affect what large language models learn about linguistic properties?. ACL (2) (pp 131-147)
• Bose T, Aletras N, Illina I & Fohr D (2022) Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection.. ACL (Findings) (pp 372-382)
• Bose T, Aletras N, Illina I & Fohr D (2022) Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection.. COLING (pp 6656-6666)
• Li W & Aletras N (2022) Improving Graph-Based Text Representations with Character and Word Level N-grams.. AACL/IJCNLP (2) (pp 228-233)
• Li M, Chen J, Mensah S, Aletras N, Yang X & Ye Y (2022) . Findings of the Association for Computational Linguistics: EMNLP 2022, December 2022 - December 2022.
• Chrysostomou G & Aletras N (2022) An Empirical Study on Explanations in Out-of-Domain Settings.. ACL (1) (pp 6920-6938)
• Ao X, Villegas DS, Preotiuc-Pietro D & Aletras N (2022) Combining Humor and Sarcasm for Improving Political Parody Detection.. NAACL-HLT (pp 1800-1807)
• Jin M, Preotiuc-Pietro D, Dogruöz AS & Aletras N (2022) Automatic Identification and Classification of Bragging in Social Media.. ACL (1) (pp 3945-3959)
• Li M, Chen J, Mensah S, Aletras N, Yang X & Ye Y (2022) A Hierarchical N-Gram Framework for Zero-Shot Link Prediction.. EMNLP (Findings) (pp 2498-2509)
• Gajbhiye A, Fomicheva M, Alva-Manchego F, Blain F, Obamuyide A, Aletras N & Specia L (2021) . Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (pp 5091-5099). Bangkok, Thailand (virtual conference), 1 August 2021 - 6 August 2021.
• Sánchez Villegas D & Aletras N (2021) . Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021 - November 2021.
• Yamaguchi A, Chrysostomou G, Margatina K & Aletras N (2021) . Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021 - November 2021.
• Chrysostomou G & Aletras N (2021) . Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021 - November 2021.
• Margatina K, Vernikos G, Barrault L & Aletras N (2021) . Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, November 2021 - November 2021.
• Aletras N, Androutsopoulos I, Barrett L, Goantă C, Preotiuc-Pietro D, Agnoloni T, Ash E, Baldwin B, Blair-Stanek A, Borchmann L , Chalkidis I et al (2021) Introduction. Natural Legal Language Processing, NLLP 2021 - Proceedings of the 2021 Workshop (pp III)
• Chalkidis I, Fergadiotis M, Tsarapatsanis D, Aletras N, Androutsopoulos I & Malakasiotis P (2021) Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases.. NAACL-HLT (pp 226-241)
• Jin M & Aletras N (2021) Modeling the Severity of Complaints in Social Media.. NAACL-HLT (pp 2264-2274)
• Tsarapatsanis D & Aletras N (2021) On the Ethical Limits of Natural Language Processing on Legal Text.. ACL/IJCNLP (Findings) (pp 3590-3599)
• Gajbhiye A, Fomicheva M, Alva-Manchego F, Blain F, Obamuyide A, Aletras N & Specia L (2021) Knowledge Distillation for Quality Estimation.. ACL/IJCNLP (Findings) (pp 5091-5099)
• Vickers P, Aletras N, Monti E & Barrault L (2021) In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering.. ACL/IJCNLP (2) (pp 468-475)
• Chrysostomou G & Aletras N (2021) Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification.. ACL/IJCNLP (1) (pp 477-488)
• Villegas DS, Mokaram S & Aletras N (2021) Analyzing Online Political Advertisements.. ACL/IJCNLP (Findings) (pp 3669-3680)
• Mensah S, Sun K & Aletras N (2021) An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings (pp 9174-9179)
• (2021) Proceedings of the Natural Legal Language Processing Workshop 2021, NLLP@EMNLP 2021, Punta Cana, Dominican Republic, November 10, 2021. NLLP@EMNLP
• Chrysostomou G & Aletras N (2021) Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience.. EMNLP (1) (pp 8189-8200)
• Margatina K, Vernikos G, Barrault L & Aletras N (2021) Active Learning by Acquiring Contrastive Examples.. EMNLP (1) (pp 650-663)
• Yamaguchi A, Chrysostomou G, Margatina K & Aletras N (2021) Frustratingly Simple Pretraining Alternatives to Masked Language Modeling.. EMNLP (1) (pp 3116-3125)
• Villegas DS & Aletras N (2021) Point-of-Interest Type Prediction using Text and Images.. EMNLP (1) (pp 7785-7797)
• Mensah S, Sun K & Aletras N (2021) An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction.. EMNLP (1) (pp 9174-9179)
• Gargett A, Firth R & Aletras N (2020) . 2020 IEEE International Conference on Big Data (Big Data), 10 December 2020 - 13 December 2020.
• Blain F, Aletras N & Specia L (2020) Quality In, Quality Out: Learning from Actual Mistakes.. EAMT (pp 145-153)
• Maronikolakis A, Villegas DS, Preotiuc-Pietro D & Aletras N (2020) Analyzing Political Parody in Social Media.. ACL (pp 4373-4384)
• Aletras N, Androutsopoulos I, Barrett L, Meyers A & Preotiuc-Pietro D (2020) Introduction to the nllp 2020workshop. CEUR Workshop Proceedings, Vol. 2645
• Alokaili A, Aletras N & Stevenson M (2020) Automatic Generation of Topic Labels.. SIGIR (pp 1965-1968)
• Chalkidis I, Fergadiotis M, Malakasiotis P, Aletras N & Androutsopoulos I (2020) LEGAL-BERT: "Preparing the Muppets for Court'".. EMNLP (Findings) (pp 2898-2904)
• Chalkidis I, Fergadiotis M, Kotitsas S, Malakasiotis P, Aletras N & Androutsopoulos I (2020) An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels.. EMNLP (1) (pp 7503-7515)
• Jin M & Aletras N (2020) Complaint Identification in Social Media with Transformer Networks.. COLING (pp 1765-1771)
• Villegas DS, Preotiuc-Pietro D & Aletras N (2020) Point-of-Interest Type Inference from Social Media Text.. AACL/IJCNLP (pp 804-810)
• Chalkidis I, Fergadiotis M, Malakasiotis P, Aletras N & Androutsopoulos I (2020) LEGAL-BERT: The Muppets straight out of Law School. FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EMNLP 2020
• Alokaili A, Aletras N & Stevenson M (2020) . Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
• Chalkidis I, Fergadiotis E, Malakasiotis P, Aletras N & Androutsopoulos I (2019) . Proceedings of the Natural Legal Language Processing Workshop 2019, June 2019 - June 2019.
• Chalkidis I, Androutsopoulos I & Aletras N (2019) . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp 4317-4323). Florence, Italy, 28 July 2019 - 2 August 2019.
• PreoÅ£iuc-Pietro D, Gaman M & Aletras N (2019) . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp 5008-5019). Florence, Italy, 28 July 2019 - 2 August 2019.
• Karmakharm T, Aletras N & Bontcheva K (2019) . Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, November 2019 - November 2019.
• Preotiuc-Pietro D, Gaman M & Aletras N (2019) Automatically Identifying Complaints in Social Media.. ACL (1) (pp 5008-5019)
• Chalkidis I, Androutsopoulos I & Aletras N (2019) Neural Legal Judgment Prediction in English. 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019) (pp 4317-4323)
• Tsakalidis A, Aletras N, Cristea AI & Liakata M (2018) . CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp 367-376), 22 October 2018 - 26 October 2018.
• Aletras N & Chamberlain BP (2018) . Proceedings of the 29th ACM Conference on Hypertext and Social Media (pp 20-24), 9 July 2018 - 12 July 2018.
• Tsakalidis A, Aletras N, Cristea AI & Liakata M (2018) Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.. CIKM (pp 367-376)
• Sorodoc I, Lau JH, Aletras N & Baldwin T (2017) . Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, April 2017 - April 2017.
• Aletras N & Mittal A (2017) . Advances in Information Retrieval : 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings (pp 500-505). Aberdeen, UK, 8 April 2017 - 13 April 2017.
• Lampos V, Aletras N, Geyti JK, Zou B & Cox IJ (2016) (pp 689-695)
• Aletras N (2015) . Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications
• Aletras N, Lau JH, Baldwin T & Stevenson M (2015) . Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15, 18 October 2015 - 23 October 2015.
• Aletras N & Stevenson M (2015) . Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, June 2015 - June 2015.
• PreoÅ£iuc-Pietro D, Lampos V & Aletras N (2015) . Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (pp 1754-1764)
• (2015) Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015. TM@CIKM
• Aletras N & Stevenson M (2014) . Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Vol. 2 (pp 631-636)
• Aletras N & Stevenson M (2014) . Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, April 2014 - April 2014.
• Aletras N, Baldwin T, Lau JH & Stevenson M (2014) . IEEE/ACM Joint Conference on Digital Libraries, 8 September 2014 - 12 September 2014.
• Lampos V, Aletras N, Preotiuc-Pietro D & Cohn T (2014) Predicting and Characterising User Impact on Twitter. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
• Agirre E, Aletras N, Clough PD, Fernando S, Goodale P, Hall MM, Soroa A & Stevenson M (2013) PATHS: A System for Accessing Cultural Heritage Collections.. ACL (Conference System Demonstrations) (pp 151-156)
• Agirre E, Aletras N, Gonzalez-Agirre A, Rigau G & Stevenson M (2013) UBC UOS-TYPED: Regression for Typed-similarity. *SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Vol. 1 (pp 132-137)
• Aletras N & Stevenson M (2013) Evaluating topic coherence using distributional semantics. Proceedings of the 10th International Conference on Computational Semantics, IWCS 2013 - Long Papers
• Aletras N & Stevenson M (2013) Representing topics using images. NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference (pp 158-167)
• Agirre E, Aletras N, Gonzalez-Agirre A, Rigau G & Stevenson M (2013) UBC UOS-TYPED: Regression for Typed-similarity. SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity (pp 132-137)
• Hall M, Agirre E, Aletras N, Bergheim R, Chandrinos K, Clough P, Fernando S, Fernie K, Goodale P, Griffiths J , Lopez de Lacalle O et al (2012) PATHS - Exploring Digital Cultural Heritage Spaces. Theory and Practice of Digital Libraries 2012. Cyprus
• Aletras N & Stevenson M (2012) Computing Similarity between Cultural Heritage Items using Multimodal Features. Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (pp 85-93). Avignon, France
• Goodale P, Clough P, Ford N, Hall M, Stevenson M, Fernando S, Aletras N, Fernie K, Archer P & De Polo A (2012) User-centred design to support exploration and path creation in cultural heritage collections. CEUR Workshop Proceedings, Vol. 909 (pp 75-78)
• Yamaguchi A, Villavicencio A & Aletras N () An empirical study on cross-lingual vocabulary adaptation for efficient language model inference. Findings of the Association for Computational Linguistics: EMNLP 2024. Miami, Florida, 12 November 2024 - 12 November 2024.
• Wood G & Demirbag M ()

Preprints

• Williams M, Chrysostomou G, Jeronymo V & Aletras N (2025) Compressing Language Models for Specialized Domains.
• Yamaguchi A, Morishita T, Villavicencio A & Aletras N (2024) Vocabulary Expansion of Chat Models with Unlabeled Target Language Data, arXiv.
• Hughes A, Aletras N & Ma N (2024) How Private are Language Models in Abstractive Summarization?, arXiv.
• Williams M, Chrysostomou G & Aletras N (2024) Self-calibration for Language Model Quantization and Pruning.
• Mu Y, Jin M, Song X & Aletras N (2024) Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research, arXiv.
• Yamaguchi A, Villavicencio A & Aletras N (2024) , arXiv.
• Jin M, PreoÅ£iuc-Pietro D, DoÄŸruöz AS & Aletras N (2024) , arXiv.
• Zhao Z & Aletras N (2024) , arXiv.
• Yamaguchi A, Villavicencio A & Aletras N (2024) , arXiv.
• Vickers P, Barrault L, Monti E & Aletras N (2024) , arXiv.
• Williams M & Aletras N (2023) , arXiv.
• Chrysostomou G, Zhao Z, Williams M & Aletras N (2023) , arXiv.
• Alajrami A, Margatina K & Aletras N (2023) , arXiv.
• Xue H & Aletras N (2023) , arXiv.
• Goanta C, Aletras N, Chalkidis I, Ranchordas S & Spanakis G (2023) , arXiv.
• Mu Y, Song X, Bontcheva K & Aletras N (2023) , arXiv.
• Williams M & Aletras N (2023) , arXiv.
• Villegas DS, PreoÅ£iuc-Pietro D & Aletras N (2023) , arXiv.
• Villegas DS, Goanta C & Aletras N (2023) , arXiv.
• Feng Y, Jiao Y, Prasad A, Aletras N, Yilmaz E & Kazai G (2023) , arXiv.
• Margatina K, Schick T, Aletras N & Dwivedi-Yu J (2023) , arXiv.
• Mu Y, Wu BP, Thorne W, Robinson A, Aletras N, Scarton C, Bontcheva K & Song X (2023) , arXiv.
• Shi Z, Tonolini F, Aletras N, Yilmaz E, Kazai G & Jiao Y (2023) , arXiv.
• Margatina K & Aletras N (2023) , arXiv.
• Mensah S, Sun K & Aletras N (2023) Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement, arXiv.
• Zhao Z & Aletras N (2023) , arXiv.
• Sun K, Zhang R, Mensah S, Aletras N, Mao Y & Liu X (2023) , arXiv.
• Mu Y, Bontcheva K & Aletras N (2023) It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits, arXiv.
• Zhao Z, Chrysostomou G, Bontcheva K & Aletras N (2022) On the Impact of Temporal Concept Drift on Model Explanations.
• Xue H & Aletras N (2022) HashFormers: Towards Vocabulary-independent Pre-trained Transformers.
• Li W & Aletras N (2022) Improving Graph-Based Text Representations with Character and Word Level N-grams.
• Bose T, Aletras N, Illina I & Fohr D (2022) Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection.
• Ao X, Villegas DS, PreoÅ£iuc-Pietro D & Aletras N (2022) Combining Humor and Sarcasm for Improving Political Parody Detection.
• Mu Y, Niu P & Aletras N (2022) Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media, arXiv.
• Li M, Chen J, Mensah S, Aletras N, Yang X & Ye Y (2022) A Hierarchical N-Gram Framework for Zero-Shot Link Prediction, arXiv.
• Bose T, Aletras N, Illina I & Fohr D (2022) Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection, arXiv.
• Alajrami A & Aletras N (2022) How does the pre-training objective affect what large language models learn about linguistic properties?.
• Jin M, PreoÅ£iuc-Pietro D, DoÄŸruöz AS & Aletras N (2022) Automatic Identification and Classification of Bragging in Social Media, arXiv.
• Chrysostomou G & Aletras N (2022) An Empirical Study on Explanations in Out-of-Domain Settings, arXiv.
• Chalkidis I, Jana A, Hartung D, Bommarito M, Androutsopoulos I, Katz DM & Aletras N (2021) LexGLUE: A Benchmark Dataset for Legal Language Understanding in English, arXiv.
• Mensah S, Sun K & Aletras N (2021) An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction, arXiv.
• Gajbhiye A, Fomicheva M, Alva-Manchego F, Blain F, Obamuyide A, Aletras N & Specia L (2021) Knowledge Distillation for Quality Estimation, arXiv.
• Villegas DS, Mokaram S & Aletras N (2021) Analyzing Online Political Advertisements, arXiv.
• Tsarapatsanis D & Aletras N (2021) On the Ethical Limits of Natural Language Processing on Legal Text, arXiv.
• Chrysostomou G & Aletras N (2021) Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification, arXiv.
• Margatina K, Barrault L & Aletras N (2021) On the Importance of Effectively Adapting Pretrained Language Models for Active Learning, arXiv.
• Chrysostomou G & Aletras N (2021) Flexible Instance-Specific Rationalization of NLP Models, arXiv.
• Chalkidis I, Fergadiotis M, Tsarapatsanis D, Aletras N, Androutsopoulos I & Malakasiotis P (2021) Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases, arXiv.
• Jin M & Aletras N (2021) Modeling the Severity of Complaints in Social Media, arXiv.
• Jin M & Aletras N (2020) Complaint Identification in Social Media with Transformer Networks, arXiv.
• Chalkidis I, Fergadiotis M, Malakasiotis P, Aletras N & Androutsopoulos I (2020) LEGAL-BERT: The Muppets straight out of Law School, arXiv.
• Chalkidis I, Fergadiotis M, Kotitsas S, Malakasiotis P, Aletras N & Androutsopoulos I (2020) An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels, arXiv.
• Villegas DS, PreoÅ£iuc-Pietro D & Aletras N (2020) Point-of-Interest Type Inference from Social Media Text, arXiv.
• Alokaili A, Aletras N & Stevenson M (2020) Automatic Generation of Topic Labels, arXiv.
• Fomicheva M, Sun S, Yankovskaya L, Blain F, Guzmán F, Fishel M, Aletras N, Chaudhary V & Specia L (2020) Unsupervised Quality Estimation for Neural Machine Translation, arXiv.
• Maronikolakis A, Villegas DS, Preotiuc-Pietro D & Aletras N (2020) Analyzing Political Parody in Social Media, arXiv.
• Preotiuc-Pietro D, Gaman M & Aletras N (2019) Automatically Identifying Complaints in Social Media, arXiv.
• Chalkidis I, Androutsopoulos I & Aletras N (2019) Neural Legal Judgment Prediction in English, arXiv.
• Alokaili A, Aletras N & Stevenson M (2019) Re-Ranking Words to Improve Interpretability of Automatically Generated Topics, arXiv.
• Zhang L, Song H & Lu H (2018) Graph Node-Feature Convolution for Representation Learning.
• Tsakalidis A, Aletras N, Cristea AI & Liakata M (2018) Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum, arXiv.
• Aletras N & Chamberlain BP (2018) Predicting Twitter User Socioeconomic Attributes with Network and Language Information, arXiv.
• Aletras N & Mittal A (2016) Labeling Topics with Images using Neural Networks, arXiv.
• Chalkidis I, Fergadiotis M, Malakasiotis P, Aletras N & Androutsopoulos I () Extreme Multi-Label Legal Text Classification: A case study in EU Legislation.