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XTREME-S: Evaluating Cross-lingual Speech Representations ...
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Self-supervised Learning with Random-projection Quantizer for Speech Recognition ...
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Unsupervised Data Selection via Discrete Speech Representation for ASR ...
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mSLAM: Massively multilingual joint pre-training for speech and text ...
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Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations ...
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MAESTRO: Matched Speech Text Representations through Modality Matching ...
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LPInsider: a webserver for lncRNA–protein interaction extraction from the literature
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In: BMC Bioinformatics (2022)
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Abstract:
BACKGROUND: Long non-coding RNA (LncRNA) plays important roles in physiological and pathological processes. Identifying LncRNA–protein interactions (LPIs) is essential to understand the molecular mechanism and infer the functions of lncRNAs. With the overwhelming size of the biomedical literature, extracting LPIs directly from the biomedical literature is essential, promising and challenging. However, there is no webserver of LPIs relationship extraction from literature. RESULTS: LPInsider is developed as the first webserver for extracting LPIs from biomedical literature texts based on multiple text features (semantic word vectors, syntactic structure vectors, distance vectors, and part of speech vectors) and logistic regression. LPInsider allows researchers to extract LPIs by uploading PMID, PMCID, PMID List, or biomedical text. A manually filtered and highly reliable LPI corpus is integrated in LPInsider. The performance of LPInsider is optimal by comprehensive experiment on different combinations of different feature and machine learning models. CONCLUSIONS: LPInsider is an efficient analytical tool for LPIs that helps researchers to enhance their comprehension of lncRNAs from text mining, and also saving their time. In addition, LPInsider is freely accessible from http://www.csbg-jlu.info/LPInsider/ with no login requirement. The source code and LPIs corpus can be downloaded from https://github.com/qiufengdiewu/LPInsider. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04665-3.
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Keyword:
Software
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URL: https://doi.org/10.1186/s12859-022-04665-3 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013167/ http://www.ncbi.nlm.nih.gov/pubmed/35428172
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Observation of new excited ${B} ^0_{s} $ states
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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Parental use of relational language with 3-year-olds in math and spatial activities: A cross-cultural perspective
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Zhang, Yu. - : eScholarship, University of California, 2021
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Joint Unsupervised and Supervised Training for Multilingual ASR ...
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Scaling End-to-End Models for Large-Scale Multilingual ASR ...
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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition ...
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Book Review: Data Collection Research Methods in Applied Linguistics
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In: Front Psychol (2021)
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Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks ...
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Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? ...
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