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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...88 Hits 1 – 20 of 1.748 1 A comparative study of several parameterizations for speaker recognition ... Faundez-Zanuy, Marcos. - : arXiv, 2022 BASE Show details 2 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 3 Compiler-Driven Simulation of Reconfigurable Hardware Accelerators ... Li, Zhijing; Ye, Yuwei; Neuendorffer, Stephen. - : arXiv, 2022 BASE Show details 4 Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ... Lee, Hung-Shin; Tsao, Yu; Jeng, Shyh-Kang. - : arXiv, 2022 BASE Show details 5 ClassSPLOM -- A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data ... Aupetit, Michael; Ali, Ahmed. - : arXiv, 2022 BASE Show details 6 A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets ... Mhamed, Mustafa; Sutcliffe, Richard; Sun, Xia. - : arXiv, 2022 BASE Show details 7 Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ... Litake, Onkar; Sabane, Maithili; Patil, Parth. - : arXiv, 2022 BASE Show details 8 Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ... Kabir, Md. Ahsanul; Almulhim, AlJohara; Luo, Xiao; Hasan, Mohammad Al. - : arXiv, 2022 Abstract: Extracting cause-effect entities from medical literature is an important task in medical information retrieval. A solution for solving this task can be used for compilation of various causality relations, such as, causality between disease and symptoms, between medications and side effects, between genes and diseases, etc. Existing solutions for extracting cause-effect entities work well for sentences where the cause and the effect phrases are name entities, single-word nouns, or noun phrases consisting of two to three words. Unfortunately, in medical literature, cause and effect phrases in a sentence are not simply nouns or noun phrases, rather they are complex phrases consisting of several words, and existing methods fail to correctly extract the cause and effect entities in such sentences. Partial extraction of cause and effect entities conveys poor quality, non informative, and often, contradictory facts, comparing to the one intended in the given sentence. In this work, we solve this problem by ... : 22 pages without comment ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2203.06592 https://arxiv.org/abs/2203.06592 BASE Hide details 9 Learning and controlling the source-filter representation of speech with a variational autoencoder ... Sadok, Samir; Leglaive, Simon; Girin, Laurent. - : arXiv, 2022 BASE Show details 10 Correcting Misproducted Speech using Spectrogram Inpainting ... Ben-Simon, Talia; Kreuk, Felix; Awwad, Faten. - : arXiv, 2022 BASE Show details 11 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 12 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 13 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 14 Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ... Bird, Jordan J.. - : arXiv, 2022 BASE Show details 15 Vision-Based American Sign Language Classification Approach via Deep Learning ... Elsayed, Nelly; ElSayed, Zag; Maida, Anthony S.. - : arXiv, 2022 BASE Show details 16 Exploring Sub-skeleton Trajectories for Interpretable Recognition of Sign Language ... Gudmundsson, Joachim; Seybold, Martin P.; Pfeifer, John. - : arXiv, 2022 BASE Show details 17 Sign Language Recognition System using TensorFlow Object Detection API ... Srivastava, Sharvani; Gangwar, Amisha; Mishra, Richa. - : arXiv, 2022 BASE Show details 18 pNLP-Mixer: an Efficient all-MLP Architecture for Language ... Fusco, Francesco; Pascual, Damian; Staar, Peter. - : arXiv, 2022 BASE Show details 19 Multilingual Abusiveness Identification on Code-Mixed Social Media Text ... Ranjan, Ekagra; Poddar, Naman. - : arXiv, 2022 BASE Show details 20 hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ... Das, Mithun; Banerjee, Somnath; Mukherjee, Animesh. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...88

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