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https://github.com/rycolab/neural-network-recognizers GitHub - rycolab/neural-network-recognizers: Code for the paper "Training Neural Networks as... Code for the paper "Training Neural Networks as Recognizers of Formal Languages" - rycolab/neural-network-recognizers neural network https://www.sri.com/publication/speech-natural-language-pubs/mixture-input-transformations-for-adaptation-of-hybrid-connectionist-speech-recognizers/ Mixture Input Transformations for Adaptation of Hybrid Connectionist Speech Recognizers - SRI Mar 1, 2023 - We propose a new algorithm to train mixtures of transformation networks (MTNs) in the hybrid connectionist recognition framework. mixture input transformations adaptation https://www.amazon.science/code-and-datasets/textadain-paying-attention-to-shortcut-learning-in-text-recognizers TextAdaIN: Paying attention to shortcut learning in text recognizers - Amazon Science Leveraging the characteristics of convolutional layers, neural networks are extremely effective for pattern recognition tasks. However in some cases, their... paying attention shortcut https://www.aclweb.org/aclwiki/Named_entity_recognizers Named entity recognizers - ACL Wiki named entity recognizers acl wiki https://www.nuget.org/packages/Microsoft.Recognizers.Text.DateTime/ NuGet Gallery | Microsoft.Recognizers.Text.DateTime 1.8.13 Microsoft.Recognizers.Text.DateTime provides robust recognition and resolution of Date and Time expressed in English, Spanish, French, Portuguese, Chinese,... nuget gallery 1 8 microsoft recognizers text https://aclanthology.org/2022.lrec-1.645/ Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain - ACL... Divya Tadimeti, Kallirroi Georgila, David Traum. Proceedings of the Thirteenth Language Resources and Evaluation Conference. 2022. https://www.amazon.science/publications/textadain-paying-attention-to-shortcut-learning-in-text-recognizers TextAdaIN: Paying attention to shortcut learning in text recognizers - Amazon Science Leveraging the characteristics of convolutional layers, neural networks are extremely effective for pattern recognition tasks. However in some cases, their... paying attention shortcut https://speakerdeck.com/tosho/chen-et-al-2018-recurrent-neural-networks-as-weighted-language-recognizers Chen et al. - 2018 - Recurrent Neural Networks as Weighted Language Recognizers - Speaker Deck recurrent neural networks https://www.sciencedaily.com/releases/2022/08/220831113609.htm Good face recognizers can learn faces from fragments | ScienceDaily Good with faces? New research suggests that your ability might be more akin to piecing together a jigsaw puzzle than taking a photograph. good face recognizers learn fragments https://www.nuget.org/packages/Compiled.Recognizers.Text/1.4.2.14312/ReportAbuse NuGet Gallery | Report Package Compiled.Recognizers.Text 1.4.2.14312 1 4 2 nuget gallery report package compiled https://www.nuget.org/packages/Compiled.Recognizers.Text/ NuGet Gallery | Compiled.Recognizers.Text 1.4.2.18057 Microsoft.Recognizers.Text provides base classes for robust recognition and resolution of text entities. This is exact same library as the... 1 4 2 nuget gallery compiled recognizers text https://openreview.net/forum?id=hMzHvPOXALa&referrer=%5Bthe%20profile%20of%20David%20Traum%5D(%2Fprofile%3Fid%3D~David_Traum1) Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains | OpenReview Kallirroi Georgila, Anton Leuski, Volodymyr Yanov, David Traum. Proceedings of the 12th Language Resources and Evaluation Conference. 2020. off the shelf https://www.nist.gov/publications/forensic-facial-examiners-versus-super-recognizers-evaluating-behavior-beyond-accuracy Forensic facial examiners versus super-recognizers: Evaluating behavior beyond accuracy | NIST Nov 29, 2022 - We evaluated the detailed, behavioral properties of face matching performance in two specialist groups: forensic facial examiners and super-recognizers. super recognizers forensic facial examiners versus