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Hits 1 – 15 of 15

1
Do pretrained transformers infer telicity like humans? ...
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2
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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3
What About the Precedent: An Information-Theoretic Analysis of Common Law
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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4
Finding Concept-specific Biases in Form–Meaning Associations
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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5
A Non-Linear Structural Probe
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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6
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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7
Consumer Cynicism Identification for Spanish Reviews using a Spanish Transformer Model ; Identificación del cinismo del consumidor para reseñas en español utilizando un modelo de transformador español
González-López, Samuel; Bethard, Steven; Encinas Orozco, Francisca Cecilia. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2021
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8
Backtranslation feedback improves user confidence in MT, not quality
Obregón, Mateo; Fomicheva, Marina; Novák, Michal. - : Association for Computational Linguistics, 2021
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9
From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time Normalizations
In: Trans Assoc Comput Linguist (2018)
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10
UArizona at the CLEF eRisk 2017 Pilot Task: Linear and Recurrent Models for Early Depression Detection
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11
TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
Fairon, Cédrick; Faralli, Stefano; Panchenko, Alexander. - : Association for Computational Linguistics, 2016
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12
Temporal Annotation in the Clinical Domain.
In: Transactions of the Association for Computational Linguistics, vol 2 (2014)
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13
Discovering body site and severity modifiers in clinical texts
Dligach, Dmitriy; Bethard, Steven; Becker, Lee. - : BMJ Publishing Group, 2014
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14
An Annotation Framework for Dense Event Ordering
In: DTIC (2014)
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15
Temporal Annotation in the Clinical Domain
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