Leslie Barrett


2023

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Proceedings of the Natural Legal Language Processing Workshop 2023
Daniel Preoțiuc-Pietro | Catalina Goanta | Ilias Chalkidis | Leslie Barrett | Gerasimos Spanakis | Nikolaos Aletras
Proceedings of the Natural Legal Language Processing Workshop 2023

2022

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Proceedings of the Natural Legal Language Processing Workshop 2022
Nikolaos Aletras | Ilias Chalkidis | Leslie Barrett | Cătălina Goanță | Daniel Preoțiuc-Pietro
Proceedings of the Natural Legal Language Processing Workshop 2022

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A Lightweight Yet Robust Approach to Textual Anomaly Detection
Leslie Barrett | Robert Kingan | Alexandra Ortan | Madhavan Seshadri
Proceedings of the Third Workshop on Threat, Aggression and Cyberbullying (TRAC 2022)

Highly imbalanced textual datasets continue to pose a challenge for supervised learning models. However, viewing such imbalanced text data as an anomaly detection (AD) problem has advantages for certain tasks such as detecting hate speech, or inappropriate and/or offensive language in large social media feeds. There the unwanted content tends to be both rare and non-uniform with respect to its thematic character, and better fits the definition of an anomaly than a class. Several recent approaches to textual AD use transformer models, achieving good results but with trade-offs in pre-training and inflexibility with respect to new domains. In this paper we compare two linear models within the NMF family, which also have a recent history in textual AD. We introduce a new approach based on an alternative regularization of the NMF objective. Our results surpass other linear AD models and are on par with deep models, performing comparably well even in very small outlier concentrations.

2021

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Proceedings of the Natural Legal Language Processing Workshop 2021
Nikolaos Aletras | Ion Androutsopoulos | Leslie Barrett | Catalina Goanta | Daniel Preotiuc-Pietro
Proceedings of the Natural Legal Language Processing Workshop 2021

2019

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Proceedings of the Natural Legal Language Processing Workshop 2019
Nikolaos Aletras | Elliott Ash | Leslie Barrett | Daniel Chen | Adam Meyers | Daniel Preotiuc-Pietro | David Rosenberg | Amanda Stent
Proceedings of the Natural Legal Language Processing Workshop 2019

2005

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Usability Considerations for a Cellular-based Text Translator
Leslie Barrett | Robert Levin
Proceedings of Machine Translation Summit X: Posters

This paper describes a cellular-telephone-based text-to-text translation system developed at Transclick, Inc. The application translates messages bi-directionally in English, French, German, Italian, Spanish and Portuguese. This paper describes design features uniquely suited to hand-held-device based translation systems. In particular, we discuss some of the usability conditions unique to this type of application and present strategies for overcoming usability obstacles encountered in the design phase of the product.

2003

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Considerations of methodology and human factors in rating a suite of translated sentences
Leslie Barrett
Workshop on Systemizing MT Evaluation

1998

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Using NOMLEX to Produce Nominalization Patterns for Information Extraction
Adam Meyers | Catherine Macleod | Roman Yangarber | Ralph Grishman | Leslie Barrett | Ruth Reeves
The Computational Treatment of Nominals