Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Systems"
DOI: 10.1007/s10916-020-01561-2
Abstract: Optic disc (OD) and optic cup (OC) segmentation are important steps for automatic screening and diagnosing of optic nerve head abnormalities such as glaucoma. Many recent works formulated the OD and OC segmentation as a… read more here.
Keywords: image; sequence labeling; segmentation; optic disc ... See more keywords
Assigning Species Information to Corresponding Genes by a Sequence Labeling Framework
Sign Up to like & getrecommendations! Published in 2022 at "Database : the journal of biological databases and curation"
DOI: 10.1093/database/baac090
Abstract: The automatic assignment of species information to the corresponding genes in a research article is a critically important step in the gene normalization task, whereby a gene mention is normalized and linked to a database… read more here.
Keywords: species information; sequence labeling; framework; information corresponding ... See more keywords
Sequence Alignment Ensemble With a Single Neural Network for Sequence Labeling
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DOI: 10.1109/access.2022.3188107
Abstract: Sequence labeling, in which a class or label is assigned to each token in a given input order, is a fundamental task in natural language processing. Many advanced neural network architectures have recently been proposed… read more here.
Keywords: neural network; sequence labeling; sequence; single neural ... See more keywords
Novel Transformer Networks for Improved Sequence Labeling in genomics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2020.3035021
Abstract: In genomics, a wide range of machine learning methodologies have been investigated to annotate biological sequences for positions of interest such as transcription start sites, translation initiation sites, methylation sites, splice sites and promoter start… read more here.
Keywords: start sites; sequence labeling; sequence; novel transformer ... See more keywords
Sequence Labeling With Meta-Learning
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DOI: 10.1109/tkde.2021.3118469
Abstract: Recent neural architectures in sequence labeling have yielded state-of-the-art performance on single domain data such as newswires. However, they still suffer from (i) requiring massive amounts of training data to avoid overfitting; (ii) huge performance… read more here.
Keywords: meta learning; sequence labeling; sequence; domain data ... See more keywords
RoSeq: Robust Sequence Labeling
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2911236
Abstract: In this paper, we mainly investigate two issues for sequence labeling, namely, label imbalance and noisy data that are commonly seen in the scenario of named entity recognition (NER) and are largely ignored in the… read more here.
Keywords: robust sequence; labeling roseq; sequence labeling; loss ... See more keywords
Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Data and Information Science"
DOI: 10.2478/jdis-2021-0013
Abstract: Abstract Purpose Automatic keyphrase extraction (AKE) is an important task for grasping the main points of the text. In this paper, we aim to combine the benefits of sequence labeling formulation and pretrained language model… read more here.
Keywords: sequence labeling; keyphrase extraction; automatic keyphrase; character level ... See more keywords