Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective N Aletras, D Tsarapatsanis, D Preoţiuc-Pietro, V Lampos PeerJ computer science 2, e93, 2016 | 919 | 2016 |
LEGAL-BERT: “The Muppets straight out of Law School” I Chalkidis, M Fergadiotis, P Malakasiotis, N Aletras, I Androutsopoulos EMNLP Findings, 2020 | 769 | 2020 |
Evaluating Topic Coherence Using Distributional Semantics N Aletras, M Stevenson Proceedings of the 10th International Conference on Computational Semantics …, 2013 | 450 | 2013 |
Neural Legal Judgment Prediction in English I Chalkidis, I Androutsopoulos, N Aletras ACL, 2019 | 310 | 2019 |
Studying user income through language, behaviour and affect in social media D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras PloS one 10 (9), e0138717, 2015 | 279 | 2015 |
An analysis of the user occupational class through Twitter content D Preotiuc-Pietro, V Lampos, N Aletras ACL, 2015 | 264 | 2015 |
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English I Chalkidis, A Jana, D Hartung, MJ Bommarito, I Androutsopoulos, ... ACL, 2022 | 174 | 2022 |
Active Learning by Acquiring Contrastive Examples K Margatina, G Vernikos, L Barrault, N Aletras EMNLP, 2021 | 147 | 2021 |
Unsupervised Quality Estimation for Neural Machine Translation M Fomicheva, S Sun, L Yankovskaya, F Blain, F Guzmán, M Fishel, ... TACL, 2020 | 134 | 2020 |
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels I Chalkidis, M Fergadiotis, S Kotitsas, P Malakasiotis, N Aletras, ... EMNLP, 2020 | 93 | 2020 |
Predicting and Characterising User Impact on Twitter V Lampos, N Aletras, D Preotiuc-Pietro, T Cohn EACL, 2014 | 91 | 2014 |
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases I Chalkidis, M Fergadiotis, D Tsarapatsanis, N Aletras, I Androutsopoulos, ... NAACL, 2021 | 87 | 2021 |
Extreme Multi-Label Legal Text Classification: A case study in EU Legislation I Chalkidis, M Fergadiotis, P Malakasiotis, N Aletras, I Androutsopoulos Proceedings of the Natural Legal Language Processing Workshop 2019, 2019 | 81 | 2019 |
Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language V Lampos, N Aletras, JK Geyti, B Zou, IJ Cox ECIR, 2016 | 80 | 2016 |
Predicting Twitter User Socioeconomic Attributes with Network and Language Information N Aletras, BP Chamberlain ACM HyperText, 2018 | 72 | 2018 |
Measuring the Similarity between Automatically Generated Topics N Aletras, M Stevenson EACL, 2014 | 70 | 2014 |
Automatically Identifying Complaints in Social Media D Preotiuc-Pietro, M Gaman, N Aletras ACL, 2019 | 63 | 2019 |
Labelling Topics using Unsupervised Graph-based Methods N Aletras, M Stevenson ACL, 2014 | 52 | 2014 |
Evaluating topic representations for exploring document collections N Aletras, T Baldwin, JH Lau, M Stevenson JASIST 68 (1), 154-167, 2017 | 47 | 2017 |
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning K Margatina, L Barrault, N Aletras ACL, 2022 | 42* | 2022 |