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1
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
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2
Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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3
A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ...
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4
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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5
Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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6
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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7
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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8
Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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9
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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10
Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
Zhang, Yi. - : Purdue University Graduate School, 2022
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11
Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ...
Zhang, Yi. - : Purdue University Graduate School, 2022
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12
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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13
Multilingual Abusiveness Identification on Code-Mixed Social Media Text ...
Ranjan, Ekagra; Poddar, Naman. - : arXiv, 2022
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14
hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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15
StableMoE: Stable Routing Strategy for Mixture of Experts ...
Dai, Damai; Dong, Li; Ma, Shuming. - : arXiv, 2022
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16
BERTuit: Understanding Spanish language in Twitter through a native transformer ...
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17
EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification ...
Abstract: Knowledge-based authentication is crucial for task-oriented spoken dialogue systems that offer personalised and privacy-focused services. Such systems should be able to enrol (E), verify (V), and identify (I) new and recurring users based on their personal information, e.g. postcode, name, and date of birth. In this work, we formalise the three authentication tasks and their evaluation protocols, and we present EVI, a challenging spoken multilingual dataset with 5,506 dialogues in English, Polish, and French. Our proposed models set the first competitive benchmarks, explore the challenges of multilingual natural language processing of spoken dialogue, and set directions for future research. ... : 13 pages, 7 figures, 7 tables. Accepted in NAACL 2022 (Findings) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2204.13496
https://arxiv.org/abs/2204.13496
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18
Frame Shift Prediction ...
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19
Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ...
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20
Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages ...
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