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1
A comparative study of several parameterizations for speaker recognition ...
Faundez-Zanuy, Marcos. - : arXiv, 2022
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2
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
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3
Compiler-Driven Simulation of Reconfigurable Hardware Accelerators ...
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4
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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5
ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ...
Aupetit, Michael; Ali, Ahmed. - : arXiv, 2022
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6
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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7
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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8
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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9
Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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10
Correcting Misproducted Speech using Spectrogram Inpainting ...
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11
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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12
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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13
Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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14
Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ...
Bird, Jordan J.. - : arXiv, 2022
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15
Vision-Based American Sign Language Classification Approach via Deep Learning ...
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16
Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ...
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17
Sign Language Recognition System using TensorFlow Object Detection API ...
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18
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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19
Multilingual Abusiveness Identification on Code-Mixed Social Media Text ...
Ranjan, Ekagra; Poddar, Naman. - : arXiv, 2022
Abstract: Social Media platforms have been seeing adoption and growth in their usage over time. This growth has been further accelerated with the lockdown in the past year when people's interaction, conversation, and expression were limited physically. It is becoming increasingly important to keep the platform safe from abusive content for better user experience. Much work has been done on English social media content but text analysis on non-English social media is relatively underexplored. Non-English social media content have the additional challenges of code-mixing, transliteration and using different scripture in same sentence. In this work, we propose an approach for abusiveness identification on the multilingual Moj dataset which comprises of Indic languages. Our approach tackles the common challenges of non-English social media content and can be extended to other languages as well. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Social and Information Networks cs.SI
URL: https://arxiv.org/abs/2204.01848
https://dx.doi.org/10.48550/arxiv.2204.01848
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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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