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Nikolaos Aletras
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2020 – today
- 2023
- [i42]Yida Mu, Kalina Bontcheva, Nikolaos Aletras:
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. CoRR abs/2302.03147 (2023) - [i41]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) - 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 - [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 - [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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