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2020 – today
- 2024
[j9]Yida Mu
, Pu Niu, Kalina Bontcheva, Nikolaos Aletras:
Predicting and analyzing the popularity of false rumors in Weibo. Expert Syst. Appl. 243: 122791 (2024)- [j8]George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras:
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. Trans. Assoc. Comput. Linguistics 12: 1163-1181 (2024) - [c81]Miles Williams, Nikolaos Aletras:
On the Impact of Calibration Data in Post-training Quantization and Pruning. ACL (1) 2024: 10100-10118 - [c80]Francesco Tonolini, Nikolaos Aletras, Jordan Massiah, Gabriella Kazai:
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models. ACL (Findings) 2024: 12229-12272 - [c79]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC/COLING 2024: 6739-6751 - [c78]Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. LREC/COLING 2024: 12074-12086 - [c77]Ritesh Singh Soun, Atula Tejaswi Neerkaje, Ramit Sawhney, Nikolaos Aletras, Preslav Nakov:
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. LREC/COLING 2024: 14134-14145 - [c76]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media. LREC/COLING 2024: 17575-17587 - [c75]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks. EACL (Findings) 2024: 1126-1137 - [c74]Zhixue Zhao, Nikolaos Aletras:
Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models. NAACL-HLT 2024: 3226-3244 - [e5]Nikolaos Aletras, Orphée De Clercq:
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. Association for Computational Linguistics 2024, ISBN 979-8-89176-091-2 [contents] - [i63]Peter Vickers, Loïc Barrault, Emilio Monti, Nikolaos Aletras:
We Need to Talk About Classification Evaluation Metrics in NLP. CoRR abs/2401.03831 (2024) - [i62]Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras:
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference. CoRR abs/2402.10712 (2024) - [i61]Zhixue Zhao, Nikolaos Aletras:
Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models. CoRR abs/2403.12809 (2024) - [i60]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Who is bragging more online? A large scale analysis of bragging in social media. CoRR abs/2403.16668 (2024) - [i59]Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras:
Vocabulary Expansion for Low-resource Cross-lingual Transfer. CoRR abs/2406.11477 (2024) - 2023
- [c73]Samuel Mensah, Kai Sun, Nikolaos Aletras:
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement. ACL (2) 2023: 999-1007 - [c72]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. ACL (1) 2023: 2079-2091 - [c71]Katerina Margatina, Nikolaos Aletras:
On the Limitations of Simulating Active Learning. ACL (Findings) 2023: 4402-4419 - [c70]Zhixue Zhao, Nikolaos Aletras:
Incorporating Attribution Importance for Improving Faithfulness Metrics. ACL (1) 2023: 4732-4745 - [c69]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. ACL (Findings) 2023: 5614-5634 - [c68]Yida Mu, Kalina Bontcheva, Nikolaos Aletras:
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. EACL (Findings) 2023: 724-731 - [c67]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. EMNLP (Findings) 2023: 5011-5034 - [c66]Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, Gerasimos Spanakis:
Regulation and NLP (RegNLP): Taming Large Language Models. EMNLP 2023: 8712-8724 - [c65]Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras:
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? EMNLP 2023: 9085-9108 - [c64]Huiyin Xue, Nikolaos Aletras:
Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention. EMNLP (Findings) 2023: 10355-10373 - [c63]Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai:
Robust Weak Supervision with Variational Auto-Encoders. ICML 2023: 34394-34408 - [c62]Danae Sánchez Villegas, Catalina Goanta, Nikolaos Aletras:
A Multimodal Analysis of Influencer Content on Twitter. IJCNLP (1) 2023: 225-240 - [c61]Peter Vickers, Loïc Barrault, Emilio Monti, Nikolaos Aletras:
We Need to Talk About Classification Evaluation Metrics in NLP. IJCNLP (1) 2023: 498-510 - [c60]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. WWW 2023: 1594-1603 - [i58]Yida Mu, Kalina Bontcheva, Nikolaos Aletras:
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. CoRR abs/2302.03147 (2023) - [i57]Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu:
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. CoRR abs/2302.14719 (2023) - [i56]Zhixue Zhao, Nikolaos Aletras:
Incorporating Attribution Importance for Improving Faithfulness Metrics. CoRR abs/2305.10496 (2023) - [i55]Samuel Mensah, Kai Sun, Nikolaos Aletras:
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement. CoRR abs/2305.11034 (2023) - [i54]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. CoRR abs/2305.13002 (2023) - [i53]Katerina Margatina, Nikolaos Aletras:
On the Limitations of Simulating Active Learning. CoRR abs/2305.13342 (2023) - [i52]Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu:
Active Learning Principles for In-Context Learning with Large Language Models. CoRR abs/2305.14264 (2023) - [i51]Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song:
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. CoRR abs/2305.14310 (2023) - [i50]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. CoRR abs/2305.16798 (2023) - [i49]Danae Sánchez Villegas, Catalina Goanta, Nikolaos Aletras:
A Multimodal Analysis of Influencer Content on Twitter. CoRR abs/2309.03064 (2023) - [i48]Danae Sánchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks. CoRR abs/2309.07794 (2023) - [i47]Miles Williams, Nikolaos Aletras:
Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning. CoRR abs/2309.08708 (2023) - [i46]Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras:
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. CoRR abs/2309.11576 (2023) - [i45]Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, Gerasimos Spanakis:
Regulation and NLP (RegNLP): Taming Large Language Models. CoRR abs/2310.05553 (2023) - [i44]Huiyin Xue, Nikolaos Aletras:
Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention. CoRR abs/2310.07911 (2023) - [i43]Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras:
Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? CoRR abs/2310.17271 (2023) - [i42]George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras:
Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. CoRR abs/2311.09335 (2023) - [i41]Miles Williams, Nikolaos Aletras:
How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models? CoRR abs/2311.09755 (2023) - 2022
- [j7]Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu:
Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. 128: 108661 (2022) - [c59]George Chrysostomou, Nikolaos Aletras:
Flexible Instance-Specific Rationalization of NLP Models. AAAI 2022: 10545-10553 - [c58]Ahmed Alajrami, Nikolaos Aletras:
How does the pre-training objective affect what large language models learn about linguistic properties? ACL (2) 2022: 131-147 - [c57]Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr:
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection. ACL (Findings) 2022: 372-382 - [c56]Katerina Margatina, Loïc Barrault, Nikolaos Aletras:
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. ACL (2) 2022: 825-836 - [c55]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Automatic Identification and Classification of Bragging in Social Media. ACL (1) 2022: 3945-3959 - [c54]Marina Fomicheva, Lucia Specia, Nikolaos Aletras:
Translation Error Detection as Rationale Extraction. ACL (Findings) 2022: 4148-4159 - [c53]Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael J. Bommarito II, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras:
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. ACL (1) 2022: 4310-4330 - [c52]George Chrysostomou, Nikolaos Aletras:
An Empirical Study on Explanations in Out-of-Domain Settings. ACL (1) 2022: 6920-6938 - [c51]Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr:
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection. COLING 2022: 6656-6666 - [c50]Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye:
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. EMNLP (Findings) 2022: 2498-2509 - [c49]Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras:
On the Impact of Temporal Concept Drift on Model Explanations. EMNLP (Findings) 2022: 4039-4054 - [c48]Huiyin Xue, Nikolaos Aletras:
HashFormers: Towards Vocabulary-independent Pre-trained Transformers. EMNLP 2022: 7862-7874 - [c47]Wenzhe Li, Nikolaos Aletras:
Improving Graph-Based Text Representations with Character and Word Level N-grams. AACL/IJCNLP (2) 2022: 228-233 - [c46]Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Combining Humor and Sarcasm for Improving Political Parody Detection. NAACL-HLT 2022: 1800-1807 - [c45]Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR 2022: 1716-1727 - [c44]Yida Mu, Pu Niu, Nikolaos Aletras:
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. WebSci 2022: 401-410 - [e4]Nikolaos Aletras, Ilias Chalkidis, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop, NLLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-18-0 [contents] - [i40]George Chrysostomou, Nikolaos Aletras:
An Empirical Study on Explanations in Out-of-Domain Settings. CoRR abs/2203.00056 (2022) - [i39]Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruöz, Nikolaos Aletras:
Automatic Identification and Classification of Bragging in Social Media. CoRR abs/2203.05840 (2022) - [i38]Ahmed Alajrami, Nikolaos Aletras:
How does the pre-training objective affect what large language models learn about linguistic properties? CoRR abs/2203.10415 (2022) - [i37]Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr:
Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection. CoRR abs/2203.12536 (2022) - [i36]Yida Mu, Pu Niu, Nikolaos Aletras:
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. CoRR abs/2204.10080 (2022) - [i35]Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye:
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. CoRR abs/2204.10293 (2022) - [i34]Xiao Ao, Danae Sánchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Combining Humor and Sarcasm for Improving Political Parody Detection. CoRR abs/2205.03313 (2022) - [i33]Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr:
Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection. CoRR abs/2209.08681 (2022) - [i32]Wenzhe Li, Nikolaos Aletras:
Improving Graph-Based Text Representations with Character and Word Level N-grams. CoRR abs/2210.05999 (2022) - [i31]Huiyin Xue, Nikolaos Aletras:
HashFormers: Towards Vocabulary-independent Pre-trained Transformers. CoRR abs/2210.07904 (2022) - [i30]Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras:
On the Impact of Temporal Concept Drift on Model Explanations. CoRR abs/2210.09197 (2022) - 2021
- [c43]Peter Vickers, Nikolaos Aletras, Emilio Monti, Loïc Barrault:
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering. ACL/IJCNLP (2) 2021: 468-475 - [c42]George Chrysostomou, Nikolaos Aletras:
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. ACL/IJCNLP (1) 2021: 477-488 - [c41]Dimitrios Tsarapatsanis, Nikolaos Aletras:
On the Ethical Limits of Natural Language Processing on Legal Text. ACL/IJCNLP (Findings) 2021: 3590-3599 - [c40]Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras:
Analyzing Online Political Advertisements. ACL/IJCNLP (Findings) 2021: 3669-3680 - [c39]Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia:
Knowledge Distillation for Quality Estimation. ACL/IJCNLP (Findings) 2021: 5091-5099 - [c38]Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. EMNLP (1) 2021: 650-663 - [c37]Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. EMNLP (1) 2021: 3116-3125 - [c36]Danae Sánchez Villegas, Nikolaos Aletras:
Point-of-Interest Type Prediction using Text and Images. EMNLP (1) 2021: 7785-7797 - [c35]George Chrysostomou, Nikolaos Aletras:
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. EMNLP (1) 2021: 8189-8200 - [c34]Samuel Mensah, Kai Sun, Nikolaos Aletras:
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. EMNLP (1) 2021: 9174-9179 - [c33]Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos, Prodromos Malakasiotis:
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases. NAACL-HLT 2021: 226-241 - [c32]Mali Jin, Nikolaos Aletras:
Modeling the Severity of Complaints in Social Media. NAACL-HLT 2021: 2264-2274 - [e3]Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop 2021, NLLP@EMNLP 2021, Punta Cana, Dominican Republic, November 10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-98-5 [contents] - [i29]Mali Jin, Nikolaos Aletras:
Modeling the Severity of Complaints in Social Media. CoRR abs/2103.12428 (2021) - [i28]Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos, Prodromos Malakasiotis:
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases. CoRR abs/2103.13084 (2021) - [i27]George Chrysostomou, Nikolaos Aletras:
Variable Instance-Level Explainability for Text Classification. CoRR abs/2104.08219 (2021) - [i26]Katerina Margatina, Loïc Barrault, Nikolaos Aletras:
Bayesian Active Learning with Pretrained Language Models. CoRR abs/2104.08320 (2021) - [i25]George Chrysostomou, Nikolaos Aletras:
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. CoRR abs/2105.02657 (2021) - [i24]Dimitrios Tsarapatsanis, Nikolaos Aletras:
On the Ethical Limits of Natural Language Processing on Legal Text. CoRR abs/2105.02751 (2021) - [i23]Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras:
Analyzing Online Political Advertisements. CoRR abs/2105.04047 (2021) - [i22]Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia:
Knowledge Distillation for Quality Estimation. CoRR abs/2107.00411 (2021) - [i21]Marina Fomicheva, Lucia Specia, Nikolaos Aletras:
Translation Error Detection as Rationale Extraction. CoRR abs/2108.12197 (2021) - [i20]George Chrysostomou, Nikolaos Aletras:
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. CoRR abs/2108.13759 (2021) - [i19]Danae Sanchez Villegas, Nikolaos Aletras:
Point-of-Interest Type Prediction using Text and Images. CoRR abs/2109.00602 (2021) - [i18]Samuel Mensah, Kai Sun, Nikolaos Aletras:
An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. CoRR abs/2109.01238 (2021) - [i17]Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras:
Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. CoRR abs/2109.01819 (2021) - [i16]Katerina Margatina, Giorgos Vernikos, Loïc Barrault, Nikolaos Aletras:
Active Learning by Acquiring Contrastive Examples. CoRR abs/2109.03764 (2021) - [i15]Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael J. Bommarito II, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras:
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. CoRR abs/2110.00976 (2021) - 2020
- [j6]Yida Mu, Nikolaos Aletras:
Identifying Twitter users who repost unreliable news sources with linguistic information. PeerJ Comput. Sci. 6: e325 (2020) - [j5]Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 539-555 (2020) - [c31]Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Analyzing Political Parody in Social Media. ACL 2020: 4373-4384 - [c30]Andrew Gargett, Rob Firth, Nikolaos Aletras:
LegalOps: A Summarization Corpus of Legal Opinions. IEEE BigData 2020: 2117-2120 - [c29]Mali Jin, Nikolaos Aletras:
Complaint Identification in Social Media with Transformer Networks. COLING 2020: 1765-1771 - [c28]Frédéric Blain, Nikolaos Aletras, Lucia Specia:
Quality In, Quality Out: Learning from Actual Mistakes. EAMT 2020: 145-153 - [c27]Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
LEGAL-BERT: "Preparing the Muppets for Court'". EMNLP (Findings) 2020: 2898-2904 - [c26]Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels. EMNLP (1) 2020: 7503-7515 - [c25]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Point-of-Interest Type Inference from Social Media Text. AACL/IJCNLP 2020: 804-810 - [c24]Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Automatic Generation of Topic Labels. SIGIR 2020: 1965-1968 - [e2]Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Adam Meyers, Daniel Preotiuc-Pietro:
Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), Virtual Workshop, August 24, 2020. CEUR Workshop Proceedings 2645, CEUR-WS.org 2020 [contents] - [i14]Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Analyzing Political Parody in Social Media. CoRR abs/2004.13878 (2020) - [i13]Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, Frédéric Blain, Francisco Guzmán, Mark Fishel, Nikolaos Aletras, Vishrav Chaudhary, Lucia Specia:
Unsupervised Quality Estimation for Neural Machine Translation. CoRR abs/2005.10608 (2020) - [i12]Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Automatic Generation of Topic Labels. CoRR abs/2006.00127 (2020) - [i11]Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras:
Point-of-Interest Type Inference from Social Media Text. CoRR abs/2009.14734 (2020) - [i10]Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels. CoRR abs/2010.01653 (2020) - [i9]Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
LEGAL-BERT: The Muppets straight out of Law School. CoRR abs/2010.02559 (2020) - [i8]Mali Jin, Nikolaos Aletras:
Complaint Identification in Social Media with Transformer Networks. CoRR abs/2010.10910 (2020)
2010 – 2019
- 2019
- [c23]Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras:
Neural Legal Judgment Prediction in English. ACL (1) 2019: 4317-4323 - [c22]Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras:
Automatically Identifying Complaints in Social Media. ACL (1) 2019: 5008-5019 - [c21]Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva:
Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis. EMNLP/IJCNLP (3) 2019: 115-120 - [c20]Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Re-Ranking Words to Improve Interpretability of Automatically Generated Topics. IWCS (1) 2019: 43-54 - [i7]Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Re-Ranking Words to Improve Interpretability of Automatically Generated Topics. CoRR abs/1903.12542 (2019) - [i6]Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos:
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation. CoRR abs/1905.10892 (2019) - [i5]Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras:
Neural Legal Judgment Prediction in English. CoRR abs/1906.02059 (2019) - [i4]Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras:
Automatically Identifying Complaints in Social Media. CoRR abs/1906.03890 (2019) - 2018
- [c19]Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. CIKM 2018: 367-376 - [c18]Nikolaos Aletras, Benjamin Paul Chamberlain:
Predicting Twitter User Socioeconomic Attributes with Network and Language Information. HT 2018: 20-24 - [i3]Nikolaos Aletras, Benjamin Paul Chamberlain:
Predicting Twitter User Socioeconomic Attributes with Network and Language Information. CoRR abs/1804.04095 (2018) - [i2]Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. CoRR abs/1808.08538 (2018) - 2017
- [j4]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Evaluating topic representations for exploring document collections. J. Assoc. Inf. Sci. Technol. 68(1): 154-167 (2017) - [c17]Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin:
Multimodal Topic Labelling. EACL (2) 2017: 701-706 - [c16]Nikolaos Aletras, Arpit Mittal:
Labeling Topics with Images Using a Neural Network. ECIR 2017: 500-505 - 2016
- [j3]Aitor Gonzalez-Agirre, German Rigau, Eneko Agirre, Nikolaos Aletras, Mark Stevenson:
Why are these similar? Investigating item similarity types in a large digital library. J. Assoc. Inf. Sci. Technol. 67(7): 1624-1638 (2016) - [j2]Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preotiuc-Pietro, Vasileios Lampos:
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. PeerJ Comput. Sci. 2: e93 (2016) - [c15]Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar J. Cox:
Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. ECIR 2016: 689-695 - [i1]Nikolaos Aletras, Arpit Mittal:
Labeling Topics with Images using Neural Networks. CoRR abs/1608.00470 (2016) - 2015
- [c14]Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras:
An analysis of the user occupational class through Twitter content. ACL (1) 2015: 1754-1764 - [c13]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
TM 2015 - Topic Models: Post-Processing and Applications Workshop. CIKM 2015: 1953-1954 - [c12]Nikolaos Aletras, Mark Stevenson:
A Hybrid Distributional and Knowledge-based Model of Lexical Semantics. *SEM@NAACL-HLT 2015: 20-29 - [e1]Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson:
Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, TM 2015, Melbourne, Australia, October 19, 2015. ACM 2015, ISBN 978-1-4503-3784-7 [contents] - 2014
- [b1]Nikolaos Aletras:
Interpreting document collections with topic models. University of Sheffield, UK, 2014 - [c11]Nikolaos Aletras, Mark Stevenson:
Labelling Topics using Unsupervised Graph-based Methods. ACL (2) 2014: 631-636 - [c10]Nikolaos Aletras, Mark Stevenson:
Measuring the Similarity between Automatically Generated Topics. EACL 2014: 22-27 - [c9]Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn:
Predicting and Characterising User Impact on Twitter. EACL 2014: 405-413 - [c8]Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson:
Representing topics labels for exploring digital libraries. JCDL 2014: 239-248 - 2013
- [c7]Eneko Agirre, Nikolaos Aletras, Paul D. Clough, Samuel Fernando, Paula Goodale, Mark M. Hall, Aitor Soroa, Mark Stevenson:
PATHS: A System for Accessing Cultural Heritage Collections. ACL (Conference System Demonstrations) 2013: 151-156 - [c6]Nikolaos Aletras, Mark Stevenson:
Evaluating Topic Coherence Using Distributional Semantics. IWCS 2013: 13-22 - [c5]Nikolaos Aletras, Mark Stevenson:
Representing Topics Using Images. HLT-NAACL 2013: 158-167 - [c4]Eneko Agirre, Nikolaos Aletras, Aitor Gonzalez-Agirre, German Rigau, Mark Stevenson:
UBC_UOS-TYPED: Regression for typed-similarity. *SEM@NAACL-HLT 2013: 132-137 - 2012
- [j1]Nikolaos Aletras, Mark Stevenson, Paul D. Clough:
Computing similarity between items in a digital library of cultural heritage. ACM Journal on Computing and Cultural Heritage 5(4): 16:1-16:19 (2012) - [c3]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:
PATHS - Exploring Digital Cultural Heritage Spaces. TPDL 2012: 500-503 - [c2]Paula Goodale, Paul D. Clough, Nigel Ford, Mark M. Hall, Mark Stevenson, Samuel Fernando, Nikolaos Aletras, Kate Fernie, Phil Archer, Andrea de Polo:
User-Centred Design to Support Exploration and Path Creation in Cultural Heritage Collections. EuroHCIR 2012: 75-78 - [c1]Nikolaos Aletras, Mark Stevenson:
Computing Similarity between Cultural Heritage Items using Multimodal Features. LaTeCH@EACL 2012: 85-93
Coauthor Index
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