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Nikolaos Aletras
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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]