Ion Androutsopoulos
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Ion Androutsopoulos is a person.
- See: Legal NLP, LexGLUE Benchmark, Legal NLP Task.
References
2021
- (Chalkidis et al., 2021) ⇒ Ioannis Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Dimitrios Androutsopoulos, and Ion Androutsopoulos. (2021). "LexGLUE: A Benchmark Dataset for Legal Language Understanding in English.” In: arXiv preprint arXiv:2110.00976. DOI:2110.00976
2020
- (Chalkidis et al., 2020) ⇒ Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos. (2020). “LEGAL-BERT: The Muppets Straight Out of Law School.” arXiv preprint arXiv:2010.02559 DOI:10.48550/arXiv.2010.02559.
2016
- (Pontiki et al., 2016) ⇒ Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, et al. (2016). "Semeval-2016 task 5: Aspect based sentiment analysis." In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), pages 19-30.
- NOTE: It details the aspect-based sentiment analysis task from SemEval-2016, highlighting the methodology and findings.
2006
- (Metsis et al., 2006) ⇒ Vangelis Metsis, Ion Androutsopoulos, Georgios Paliouras. (2006). "Spam filtering with naive Bayes - Which naive Bayes?" In: CEAS 2006 - The Third Conference on Email and Anti-Spam.
- NOTE: It examines different implementations of the Naive Bayes classifier for spam filtering, evaluating their effectiveness.
2000
- (Androutsopoulos et al., 2000) ⇒ Ion Androutsopoulos, John Koutsias, Konstantinos V. Chandrinos, Georgios Paliouras, et al. (2000). "An evaluation of naive Bayesian anti-spam filtering." arXiv preprint cs/0006013.
- NOTE: It evaluates the performance of naive Bayesian filters in detecting spam emails, contributing to the foundational understanding of spam filtering techniques.
1995
- (Androutsopoulos et al., 1995) ⇒ Ion Androutsopoulos, Graeme D. Ritchie, Peter Thanisch. (1995). "Natural language interfaces to databases–an introduction." In: Natural Language Engineering, 1(1), 29-81.
- NOTE: It provides an overview of natural language interfaces for databases, discussing their development, capabilities, and challenges.