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A Neural Pairwise Ranking Model for Readability Assessment ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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Abstract:
State-of-the-art sign language generation frameworks lack expressivity and naturalness which is the result of only focusing manual signs, neglecting the affective, grammatical and semantic functions of facial expressions. The purpose of this work is to augment semantic representation of sign language through grounding facial expressions. We study the effect of modeling the relationship between text, gloss, and facial expressions on the performance of the sign generation systems. In particular, we propose a Dual Encoder Transformer able to generate manual signs as well as facial expressions by capturing the similarities and differences found in text and sign gloss annotation. We take into consideration the role of facial muscle activity to express intensities of manual signs by being the first to employ facial action units in sign language generation. We perform a series of experiments showing that our proposed model improves the quality of automatically generated sign language. ...
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Keyword:
Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2202.05383 https://dx.doi.org/10.48550/arxiv.2202.05383
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Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ...
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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
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Zhang, Yi. - : Purdue University Graduate School, 2022
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pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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Multilingual Abusiveness Identification on Code-Mixed Social Media Text ...
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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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StableMoE: Stable Routing Strategy for Mixture of Experts ...
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BERTuit: Understanding Spanish language in Twitter through a native transformer ...
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EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification ...
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Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ...
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Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
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