PATHS - Exploring Digital Cultural Heritage Spaces. - Mark M. Hall; Eneko Agirre; Nikolaos Aletras; Runar Bergheim; Konstantinos Chandrinos; Paul D. Clough; Samuel Fernando; Kate Fernie; Paula Goodale; Jillian Griffiths; Oier Lopez de Lacalle; Andrea de Polo; et al. (TPDL, 2012)

User-Centred Design to Support Exploration and Path Creation in Cultural Heritage Collections. - Paula Goodale; Paul D. Clough; Nigel Ford; Mark M. Hall; Mark Stevenson 001; Samuel Fernando; Nikolaos Aletras; Kate Fernie; Phil Archer; Andrea de Polo (EuroHCIR, 2012)

Computing Similarity between Cultural Heritage Items using Multimodal Features. - Nikolaos Aletras; Mark Stevenson (LaTeCH@EACL, 2012)

Computing similarity between items in a digital library of cultural heritage. - Nikolaos Aletras; Mark Stevenson 001; Paul D. Clough (ACM Journal on Computing and Cultural Heritage, 2012)

PATHS: A System for Accessing Cultural Heritage Collections. - Eneko Agirre; Nikolaos Aletras; Paul D. Clough; Samuel Fernando; Paula Goodale; Mark M. Hall; Aitor Soroa; Mark Stevenson 001 (ACL (Conference System Demonstrations), 2013)

Evaluating Topic Coherence Using Distributional Semantics. - Nikolaos Aletras; Mark Stevenson (IWCS, 2013)

Representing Topics Using Images. - Nikolaos Aletras; Mark Stevenson (HLT-NAACL, 2013)

UBC_UOS-TYPED: Regression for typed-similarity. - Eneko Agirre; Nikolaos Aletras; Aitor Gonzalez-Agirre; German Rigau; Mark Stevenson 001 (*SEM@NAACL-HLT, 2013)

Labelling Topics using Unsupervised Graph-based Methods. - Nikolaos Aletras; Mark Stevenson 001 (ACL (2), 2014)

Measuring the Similarity between Automatically Generated Topics. - Nikolaos Aletras; Mark Stevenson (EACL, 2014)

Predicting and Characterising User Impact on Twitter. - Vasileios Lampos; Nikolaos Aletras; Daniel Preotiuc-Pietro; Trevor Cohn (EACL, 2014)

Representing topics labels for exploring digital libraries. - Nikolaos Aletras; Timothy Baldwin; Jey Han Lau; Mark Stevenson 001 (JCDL, 2014)

Interpreting document collections with topic models. - Nikolaos Aletras (2014)

An analysis of the user occupational class through Twitter content. - Daniel Preotiuc-Pietro; Vasileios Lampos; Nikolaos Aletras (ACL (1), 2015)

TM 2015 - Topic Models: Post-Processing and Applications Workshop. - Nikolaos Aletras; Jey Han Lau; Timothy Baldwin; Mark Stevenson 001 (CIKM, 2015)

A Hybrid Distributional and Knowledge-based Model of Lexical Semantics. - Nikolaos Aletras; Mark Stevenson (*SEM@NAACL-HLT, 2015)

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. - Vasileios Lampos; Nikolaos Aletras; Jens K. Geyti; Bin Zou 006; Ingemar J. Cox (ECIR, 2016)

Labeling Topics with Images using Neural Networks. - Nikolaos Aletras; Arpit Mittal (CoRR, 2016)

Why are these similar? Investigating item similarity types in a large digital library. - Aitor Gonzalez-Agirre; German Rigau; Eneko Agirre; Nikolaos Aletras; Mark Stevenson 001 (J. Assoc. Inf. Sci. Technol., 2016)

Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. - Nikolaos Aletras; Dimitrios Tsarapatsanis; Daniel Preotiuc-Pietro; Vasileios Lampos (PeerJ Comput. Sci., 2016)

Multimodal Topic Labelling. - Ionut Sorodoc; Jey Han Lau; Nikolaos Aletras; Timothy Baldwin (EACL (2), 2017)

Labeling Topics with Images Using a Neural Network. - Nikolaos Aletras; Arpit Mittal (ECIR, 2017)

Evaluating topic representations for exploring document collections. - Nikolaos Aletras; Timothy Baldwin; Jey Han Lau; Mark Stevenson 001 (J. Assoc. Inf. Sci. Technol., 2017)

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. - Adam Tsakalidis; Nikolaos Aletras; Alexandra I. Cristea; Maria Liakata (CIKM, 2018)

Predicting Twitter User Socioeconomic Attributes with Network and Language Information. - Nikolaos Aletras; Benjamin Paul Chamberlain (HT, 2018)

Neural Legal Judgment Prediction in English. - Ilias Chalkidis; Ion Androutsopoulos; Nikolaos Aletras (ACL (1), 2019)

Automatically Identifying Complaints in Social Media. - Daniel Preotiuc-Pietro; Mihaela Gaman; Nikolaos Aletras (ACL (1), 2019)

Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis. - Twin Karmakharm; Nikolaos Aletras; Kalina Bontcheva (EMNLP/IJCNLP (3), 2019)

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics. - Areej Alokaili; Nikolaos Aletras; Mark Stevenson (IWCS (1), 2019)

Extreme Multi-Label Legal Text Classification: A case study in EU Legislation. - Ilias Chalkidis; Manos Fergadiotis; Prodromos Malakasiotis; Nikolaos Aletras; Ion Androutsopoulos (CoRR, 2019)

Analyzing Political Parody in Social Media. - Antonis Maronikolakis; Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (ACL, 2020)

LegalOps: A Summarization Corpus of Legal Opinions. - Andrew Gargett; Rob Firth; Nikolaos Aletras (IEEE BigData, 2020)

Complaint Identification in Social Media with Transformer Networks. - Mali Jin; Nikolaos Aletras (COLING, 2020)

Quality In, Quality Out: Learning from Actual Mistakes. - Frédéric Blain; Nikolaos Aletras; Lucia Specia (EAMT, 2020)

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels. - Ilias Chalkidis; Manos Fergadiotis; Sotiris Kotitsas; Prodromos Malakasiotis; Nikolaos Aletras; Ion Androutsopoulos (EMNLP (1), 2020)

LEGAL-BERT: "Preparing the Muppets for Court'". - Ilias Chalkidis; Manos Fergadiotis; Prodromos Malakasiotis; Nikolaos Aletras; Ion Androutsopoulos (EMNLP (Findings), 2020)

Point-of-Interest Type Inference from Social Media Text. - Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (AACL/IJCNLP, 2020)

Automatic Generation of Topic Labels. - Areej Alokaili; Nikolaos Aletras; Mark Stevenson 001 (SIGIR, 2020)

Automatic Generation of Topic Labels. - Areej Alokaili; Nikolaos Aletras; Mark Stevenson (CoRR, 2020)

LEGAL-BERT: The Muppets straight out of Law School. - Ilias Chalkidis; Manos Fergadiotis; Prodromos Malakasiotis; Nikolaos Aletras; Ion Androutsopoulos (CoRR, 2020)

Identifying Twitter users who repost unreliable news sources with linguistic information. - Yida Mu; Nikolaos Aletras (PeerJ Comput. Sci., 2020)

Unsupervised Quality Estimation for Neural Machine Translation. - Marina Fomicheva; Shuo Sun; Lisa Yankovskaya; Frédéric Blain; Francisco Guzmán; Mark Fishel; Nikolaos Aletras; Vishrav Chaudhary; Lucia Specia (Trans. Assoc. Comput. Linguistics, 2020)

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. - George Chrysostomou; Nikolaos Aletras (ACL/IJCNLP (1), 2021)

Knowledge Distillation for Quality Estimation. - Amit Gajbhiye; Marina Fomicheva; Fernando Alva-Manchego; Frédéric Blain; Abiola Obamuyide; Nikolaos Aletras; Lucia Specia (ACL/IJCNLP (Findings), 2021)

On the Ethical Limits of Natural Language Processing on Legal Text. - Dimitrios Tsarapatsanis; Nikolaos Aletras (ACL/IJCNLP (Findings), 2021)

In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering. - Peter Vickers; Nikolaos Aletras; Emilio Monti; Loïc Barrault (ACL/IJCNLP (2), 2021)

Analyzing Online Political Advertisements. - Danae Sanchez Villegas; Saeid Mokaram; Nikolaos Aletras (ACL/IJCNLP (Findings), 2021)

Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. - George Chrysostomou; Nikolaos Aletras (EMNLP (1), 2021)

Active Learning by Acquiring Contrastive Examples. - Katerina Margatina; Giorgos Vernikos; Loïc Barrault; Nikolaos Aletras (EMNLP (1), 2021)

An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. - Samuel Mensah; Kai Sun; Nikolaos Aletras (EMNLP (1), 2021)

Point-of-Interest Type Prediction using Text and Images. - Danae Sánchez Villegas; Nikolaos Aletras (EMNLP (1), 2021)

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. - Atsuki Yamaguchi; George Chrysostomou; Katerina Margatina; Nikolaos Aletras (EMNLP (1), 2021)

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases. - Ilias Chalkidis; Manos Fergadiotis; Dimitrios Tsarapatsanis; Nikolaos Aletras; Ion Androutsopoulos; Prodromos Malakasiotis (NAACL-HLT, 2021)

Modeling the Severity of Complaints in Social Media. - Mali Jin; Nikolaos Aletras (NAACL-HLT, 2021)

Variable Instance-Level Explainability for Text Classification. - George Chrysostomou; Nikolaos Aletras (CoRR, 2021)

Bayesian Active Learning with Pretrained Language Models. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (CoRR, 2021)

Flexible Instance-Specific Rationalization of NLP Models. - George Chrysostomou; Nikolaos Aletras (AAAI, 2022)

How does the pre-training objective affect what large language models learn about linguistic properties? - Ahmed Alajrami; Nikolaos Aletras (ACL (2), 2022)

Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection. - Tulika Bose; Nikolaos Aletras; Irina Illina; Dominique Fohr (ACL (Findings), 2022)

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. - Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael J. Bommarito II; Ion Androutsopoulos; Daniel Martin Katz; Nikolaos Aletras (ACL (1), 2022)

An Empirical Study on Explanations in Out-of-Domain Settings. - George Chrysostomou; Nikolaos Aletras (ACL (1), 2022)

Translation Error Detection as Rationale Extraction. - Marina Fomicheva; Lucia Specia; Nikolaos Aletras (ACL (Findings), 2022)

Automatic Identification and Classification of Bragging in Social Media. - Mali Jin; Daniel Preotiuc-Pietro; A. Seza Dogruöz; Nikolaos Aletras (ACL (1), 2022)

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (ACL (2), 2022)

Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection. - Tulika Bose; Nikolaos Aletras; Irina Illina; Dominique Fohr (COLING, 2022)

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. - Mingchen Li; Junfan Chen 001; Samuel Mensah; Nikolaos Aletras; Xiulong Yang; Yang Ye (EMNLP (Findings), 2022)

HashFormers: Towards Vocabulary-independent Pre-trained Transformers. - Huiyin Xue; Nikolaos Aletras (EMNLP, 2022)

On the Impact of Temporal Concept Drift on Model Explanations. - Zhixue Zhao; George Chrysostomou; Kalina Bontcheva; Nikolaos Aletras (EMNLP (Findings), 2022)

Improving Graph-Based Text Representations with Character and Word Level N-grams. - Wenzhe Li; Nikolaos Aletras (AACL/IJCNLP (2), 2022)

Combining Humor and Sarcasm for Improving Political Parody Detection. - Xiao Ao; Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (NAACL-HLT, 2022)

Towards Suicide Ideation Detection Through Online Conversational Context. - Ramit Sawhney; Shivam Agarwal; Atula Tejaswi Neerkaje; Nikolaos Aletras; Preslav Nakov; Lucie Flek (SIGIR, 2022)

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. - Yida Mu; Pu Niu; Nikolaos Aletras (WebSci, 2022)

Node-Feature Convolution for Graph Convolutional Networks. - Li Zhang 131; Heda Song; Nikolaos Aletras; Haiping Lu (Pattern Recognit., 2022)

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. - Yue Feng 002; Yunlong Jiao; Animesh Prasad; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai (ACL (1), 2023)

On the Limitations of Simulating Active Learning. - Katerina Margatina; Nikolaos Aletras (ACL (Findings), 2023)

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement. - Samuel Mensah; Kai Sun; Nikolaos Aletras (ACL (2), 2023)

Rethinking Semi-supervised Learning with Language Models. - Zhengxiang Shi; Francesco Tonolini; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai; Yunlong Jiao (ACL (Findings), 2023)

Incorporating Attribution Importance for Improving Faithfulness Metrics. - Zhixue Zhao; Nikolaos Aletras (ACL (1), 2023)

It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. - Yida Mu; Kalina Bontcheva; Nikolaos Aletras (EACL (Findings), 2023)

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? - Ahmed Alajrami; Katerina Margatina; Nikolaos Aletras (EMNLP, 2023)

Regulation and NLP (RegNLP): Taming Large Language Models. - Catalina Goanta; Nikolaos Aletras; Ilias Chalkidis; Sofia Ranchordás; Gerasimos Spanakis (EMNLP, 2023)

Active Learning Principles for In-Context Learning with Large Language Models. - Katerina Margatina; Timo Schick; Nikolaos Aletras; Jane Dwivedi-Yu (EMNLP (Findings), 2023)

Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention. - Huiyin Xue; Nikolaos Aletras (EMNLP (Findings), 2023)

Robust Weak Supervision with Variational Auto-Encoders. - Francesco Tonolini; Nikolaos Aletras; Yunlong Jiao; Gabriella Kazai (ICML, 2023)

We Need to Talk About Classification Evaluation Metrics in NLP. - Peter Vickers; Loïc Barrault; Emilio Monti; Nikolaos Aletras (IJCNLP (1), 2023)

A Multimodal Analysis of Influencer Content on Twitter. - Danae Sánchez Villegas; Catalina Goanta; Nikolaos Aletras (IJCNLP (1), 2023)

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. - Kai Sun; Richong Zhang; Samuel Mensah; Nikolaos Aletras; Yongyi Mao; Xudong Liu 001 (WWW, 2023)

Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning. - Miles Williams; Nikolaos Aletras (CoRR, 2023)

Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. - George Chrysostomou; Zhixue Zhao; Miles Williams; Nikolaos Aletras (CoRR, 2023)

How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models? - Miles Williams; Nikolaos Aletras (CoRR, 2023)

Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models. - Francesco Tonolini; Nikolaos Aletras; Jordan Massiah; Gabriella Kazai (ACL (Findings), 2024)

On the Impact of Calibration Data in Post-training Quantization and Pruning. - Miles Williams; Nikolaos Aletras (ACL (1), 2024)

Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media. - Mali Jin; Daniel Preotiuc-Pietro; A. Seza Dogruöz; Nikolaos Aletras (LREC/COLING, 2024)

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. - Yida Mu; Xingyi Song; Kalina Bontcheva; Nikolaos Aletras (LREC/COLING, 2024)

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. - Yida Mu; Ben P. Wu 001; William Thorne; Ambrose Robinson; Nikolaos Aletras; Carolina Scarton; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. - Ritesh Singh Soun; Atula Tejaswi Neerkaje; Ramit Sawhney; Nikolaos Aletras; Preslav Nakov (LREC/COLING, 2024)

Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks. - Danae Sanchez Villegas; Daniel Preotiuc-Pietro; Nikolaos Aletras (EACL (Findings), 2024)

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. - Yida Mu; Mali Jin; Xingyi Song; Nikolaos Aletras (EMNLP, 2024)

An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference. - Atsuki Yamaguchi; Aline Villavicencio; Nikolaos Aletras (EMNLP (Findings), 2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models. - Zhixue Zhao; Nikolaos Aletras (NAACL-HLT, 2024)

An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference. - Atsuki Yamaguchi; Aline Villavicencio; Nikolaos Aletras (CoRR, 2024)

Vocabulary Expansion for Low-resource Cross-lingual Transfer. - Atsuki Yamaguchi; Aline Villavicencio; Nikolaos Aletras (CoRR, 2024)

Vocabulary Expansion of Chat Models with Unlabeled Target Language Data. - Atsuki Yamaguchi; Terufumi Morishita; Aline Villavicencio; Nikolaos Aletras (CoRR, 2024)

How Private are Language Models in Abstractive Summarization? - Anthony Hughes; Nikolaos Aletras; Ning Ma 002 (CoRR, 2024)

Predicting and analyzing the popularity of false rumors in Weibo. - Yida Mu; Pu Niu; Kalina Bontcheva; Nikolaos Aletras (Expert Syst. Appl., 2024)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. - George Chrysostomou; Zhixue Zhao; Miles Williams; Nikolaos Aletras (Trans. Assoc. Comput. Linguistics, 2024)

Self-calibration for Language Model Quantization and Pruning. - Miles Williams; George Chrysostomou; Nikolaos Aletras (NAACL (Long Papers), 2025)

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. - Chuan Meng; Francesco Tonolini; Fengran Mo; Nikolaos Aletras; Emine Yilmaz; Gabriella Kazai (SIGIR, 2025)

Compressing Language Models for Specialized Domains. - Miles Williams; George Chrysostomou; Vitor Jeronymo; Nikolaos Aletras (CoRR, 2025)

GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations. - Odysseas S. Chlapanis; Dimitrios Galanis; Nikolaos Aletras; Ion Androutsopoulos (CoRR, 2025)

Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision. - Xingwei Tan; Marco Valentino; Mahmud Elahi Akhter; Maria Liakata; Nikolaos Aletras (CoRR, 2025)

Progressive Depth Up-scaling via Optimal Transport. - Mingzi Cao; Xi Wang; Nikolaos Aletras (CoRR, 2025)