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ORCIDNikolaos Aletras
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2020 – today
- 2021
[i16]Mali Jin, Nikolaos Aletras:
Modeling the Severity of Complaints in Social Media. CoRR abs/2103.12428 (2021)- [i15]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) - 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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