Results 31 to 40 of about 1,716,023 (337)
bioRxiv, 2020 Full automation of gene prediction has become an important bioinformatics task since the advent of next generation sequencing. The eukaryotic genome annotation pipeline BRAKER1 had combined self-training GeneMark-ET with AUGUSTUS to generate genes ...
Tomás Bruna +4 more
semanticscholar +1 more source
Improving automatic GO annotation with semantic similarity
BMC Bioinformatics, 2022 Background Automatic functional annotation of proteins is an open research problem in bioinformatics. The growing number of protein entries in public databases, for example in UniProtKB, poses challenges in manual functional annotation. Manual annotation
Bishnu Sarker +3 more
doaj +1 more source
Automatic Error Type Annotation for Arabic [PDF]
Conference on Computational Natural Language Learning, 2021 We present ARETA, an automatic error type annotation system for Modern Standard Arabic. We design ARETA to address Arabic’s morphological richness and orthographic ambiguity. We base our error taxonomy on the Arabic Learner Corpus (ALC) Error Tagset with
Riadh Belkebir, Nizar Habash
semanticscholar +1 more source
LAKomp. Lemmatize, annotate and compare texts in non-standardized languages
RIDE, 2023 LAKomp is a semi-automatic web-based tool developed for the annotation and comparison of historical, non-standardized texts. In contrast to other tools, LAKomp does not automate annotation but makes manual annotation simple and fast offering a semi ...
Barbara Aehnlich, Elisabeth Witzenhausen
doaj +1 more source
The automatic annotation of bacterial genomes. [PDF]
Brief Bioinform, 2013 With the development of ultra-high-throughput technologies, the cost of sequencing bacterial genomes has been vastly reduced. As more genomes are sequenced, less time can be spent manually annotating those genomes, resulting in an increased reliance on automatic annotation pipelines. However, automatic pipelines can produce inaccurate genome annotation
Richardson EJ, Watson M.
europepmc +5 more sources
Automatic Annotation of Heart Rate Sequences
2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH), 2023 Heart Rate (HR) measurement is one of the most effective ways to determine whether a person is stressed or not. The analysis of a series of HR measurements can help determine whether the HR decreased, increased dramatically, or remained consistent during that time period.
Lopes, Júlio Castro +4 more
openaire +2 more sources
Automatic Annotation and Dereplication of Tandem Mass Spectra of Peptidic Natural Products.
Analytical Chemistry, 2020 The various bioactivity types and potencies of peptidic natural products (PNPs) are of high interest for the development of new drugs. In particular, the intrinsic antibiotic properties of PNPs appear essential to combat antimicrobial resistance that is ...
Emma Ricart +3 more
semanticscholar +1 more source
Automatic Adaptation of Annotations [PDF]
Computational Linguistics, 2015 Manually annotated corpora are indispensable resources, yet for many annotation tasks, such as the creation of treebanks, there exist multiple corpora with different and incompatible annotation guidelines. This leads to an inefficient use of human expertise, but it could be remedied by integrating knowledge across corpora with different annotation ...
Wenbin Jiang +3 more
openaire +2 more sources
Sensors, 2020 Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei +4 more
doaj +1 more source
Enhanced Bootstrapping Algorithm for Automatic Annotation of Tweets
International Journal of Cognitive Informatics and Natural Intelligence, 2020 Annotations are critical in various text mining tasks such as opinion mining, sentiment analysis, word sense disambiguation. Supervised learning algorithms start with the training of the classifier and require manually annotated datasets. However, manual
Mudasir Mohd, Rafiya Jan, Nida Hakak
semanticscholar +1 more source