Nikolaos Aletras

According to our database, Nikolaos Aletras authored at least 95 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models.

Zhixue Zhao, Nikolaos Aletras

CoRR, 2024

An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference.

Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras

CoRR, 2024

Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks.

Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models?

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

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.

Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras

CoRR, 2023

Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning.

Miles Williams, Nikolaos Aletras

CoRR, 2023

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.

Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song

CoRR, 2023

Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction.

Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu

Proceedings of the ACM Web Conference 2023, 2023

A Multimodal Analysis of Influencer Content on Twitter.

Danae Sánchez Villegas, Catalina Goanta, Nikolaos Aletras

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

We Need to Talk About Classification Evaluation Metrics in NLP.

Peter Vickers, Loïc Barrault, Emilio Monti, Nikolaos Aletras

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Robust Weak Supervision with Variational Auto-Encoders.

Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai

Proceedings of the International Conference on Machine Learning, 2023

Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention.

Huiyin Xue, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Learning Principles for In-Context Learning with Large Language Models.

Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Regulation and NLP (RegNLP): Taming Large Language Models.

Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, Gerasimos Spanakis

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?

Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits.

Yida Mu, Kalina Bontcheva, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Incorporating Attribution Importance for Improving Faithfulness Metrics.

Zhixue Zhao, Nikolaos Aletras

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Rethinking Semi-supervised Learning with Language Models.

Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement.

Samuel Mensah, Kai Sun, Nikolaos Aletras

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On the Limitations of Simulating Active Learning.

Katerina Margatina, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues.

Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Node-Feature Convolution for Graph Convolutional Networks.

Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu

Pattern Recognit., 2022

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media.

Yida Mu, Pu Niu, Nikolaos Aletras

Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022

Towards Suicide Ideation Detection Through Online Conversational Context.

Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Combining Humor and Sarcasm for Improving Political Parody Detection.

Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Improving Graph-Based Text Representations with Character and Word Level N-grams.

Wenzhe Li, Nikolaos Aletras

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

On the Impact of Temporal Concept Drift on Model Explanations.

Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

HashFormers: Towards Vocabulary-independent Pre-trained Transformers.

Huiyin Xue, Nikolaos Aletras

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction.

Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection.

Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr

Proceedings of the 29th International Conference on Computational Linguistics, 2022

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning.

Katerina Margatina, Loïc Barrault, Nikolaos Aletras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Automatic Identification and Classification of Bragging in Social Media.

Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Translation Error Detection as Rationale Extraction.

Marina Fomicheva, Lucia Specia, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

An Empirical Study on Explanations in Out-of-Domain Settings.

George Chrysostomou, Nikolaos Aletras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection.

Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How does the pre-training objective affect what large language models learn about linguistic properties?

Ahmed Alajrami, Nikolaos Aletras

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Flexible Instance-Specific Rationalization of NLP Models.

George Chrysostomou, Nikolaos Aletras

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bayesian Active Learning with Pretrained Language Models.

Katerina Margatina, Loïc Barrault, Nikolaos Aletras

CoRR, 2021

Variable Instance-Level Explainability for Text Classification.

George Chrysostomou, Nikolaos Aletras

CoRR, 2021

Modeling the Severity of Complaints in Social Media.

Mali Jin, Nikolaos Aletras

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling.

Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Point-of-Interest Type Prediction using Text and Images.

Danae Sánchez Villegas, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction.

Samuel Mensah, Kai Sun, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Active Learning by Acquiring Contrastive Examples.

Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience.

George Chrysostomou, Nikolaos Aletras

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Analyzing Online Political Advertisements.

Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering.

Peter Vickers, Nikolaos Aletras, Emilio Monti, Loïc Barrault

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Ethical Limits of Natural Language Processing on Legal Text.

Dimitrios Tsarapatsanis, Nikolaos Aletras

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Knowledge Distillation for Quality Estimation.

Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification.

George Chrysostomou, Nikolaos Aletras

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Identifying Twitter users who repost unreliable news sources with linguistic information.

Yida Mu, Nikolaos Aletras

PeerJ Comput. Sci., 2020

LEGAL-BERT: The Muppets straight out of Law School.

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos

CoRR, 2020

Automatic Generation of Topic Labels.

Areej Alokaili, Nikolaos Aletras, Mark Stevenson

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Point-of-Interest Type Inference from Social Media Text.

Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

LEGAL-BERT: "Preparing the Muppets for Court'".

Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quality In, Quality Out: Learning from Actual Mistakes.

Frédéric Blain, Nikolaos Aletras, Lucia Specia

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Complaint Identification in Social Media with Transformer Networks.

Mali Jin, Nikolaos Aletras

Proceedings of the 28th International Conference on Computational Linguistics, 2020

LegalOps: A Summarization Corpus of Legal Opinions.

Andrew Gargett, Rob Firth, Nikolaos Aletras

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Analyzing Political Parody in Social Media.

Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Re-Ranking Words to Improve Interpretability of Automatically Generated Topics.

Areej Alokaili, Nikolaos Aletras, Mark Stevenson

Proceedings of the 13th International Conference on Computational Semantics, 2019

Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis.

Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Automatically Identifying Complaints in Social Media.

Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural Legal Judgment Prediction in English.

Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Predicting Twitter User Socioeconomic Attributes with Network and Language Information.

Nikolaos Aletras, Benjamin Paul Chamberlain

Proceedings of the 29th on Hypertext and Social Media, 2018

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Evaluating topic representations for exploring document collections.

Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson

J. Assoc. Inf. Sci. Technol., 2017

Labeling Topics with Images Using a Neural Network.

Nikolaos Aletras, Arpit Mittal

Proceedings of the Advances in Information Retrieval, 2017

Multimodal Topic Labelling.

Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

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

Why are these similar? Investigating item similarity types in a large digital library.

Aitor Gonzalez-Agirre, German Rigau, Eneko Agirre, Nikolaos Aletras, Mark Stevenson

J. Assoc. Inf. Sci. Technol., 2016

Labeling Topics with Images using Neural Networks.

Nikolaos Aletras, Arpit Mittal

CoRR, 2016

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language.

Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar J. Cox

Proceedings of the Advances in Information Retrieval, 2016

2015

A Hybrid Distributional and Knowledge-based Model of Lexical Semantics.

Nikolaos Aletras, Mark Stevenson

Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015

TM 2015 - Topic Models: Post-Processing and Applications Workshop.

Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

An analysis of the user occupational class through Twitter content.

Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Interpreting document collections with topic models.

Nikolaos Aletras

PhD thesis, 2014

Representing topics labels for exploring digital libraries.

Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson

Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

Predicting and Characterising User Impact on Twitter.

Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Measuring the Similarity between Automatically Generated Topics.

Nikolaos Aletras, Mark Stevenson

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Labelling Topics using Unsupervised Graph-based Methods.

Nikolaos Aletras, Mark Stevenson

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

UBC_UOS-TYPED: Regression for typed-similarity.

Eneko Agirre, Nikolaos Aletras, Aitor Gonzalez-Agirre, German Rigau, Mark Stevenson

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Representing Topics Using Images.

Nikolaos Aletras, Mark Stevenson

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Evaluating Topic Coherence Using Distributional Semantics.

Nikolaos Aletras, Mark Stevenson

Proceedings of the 10th International Conference on Computational Semantics, 2013

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

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Computing similarity between items in a digital library of cultural heritage.

Nikolaos Aletras, Mark Stevenson, Paul D. Clough

ACM Journal on Computing and Cultural Heritage, 2012

Computing Similarity between Cultural Heritage Items using Multimodal Features.

Nikolaos Aletras, Mark Stevenson

Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, 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, Samuel Fernando, Nikolaos Aletras, Kate Fernie, Phil Archer, Andrea de Polo

Proceedings of the 2nd European Workshop on Human-Computer Interaction and Information Retrieval, 2012

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, Aitor Soroa, Mark Stevenson

Proceedings of the Theory and Practice of Digital Libraries, 2012