Results 31 to 40 of about 1,855,093 (223)
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
Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method
Systems, 2023 Facing fast-increasing electronic documents in the Digital Media Age, the need to extract textual features of online texts for better communication is growing.
Xuan Liu +6 more
doaj +1 more source
Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data.
International Journal of Interactive Multimedia and Artificial Intelligence, 2020 In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor technologies huge and variety of streaming sensor data is generated. The unification of streaming sensor data is a challenging problem.
Sivadi Balakrishna +3 more
doaj +1 more source
A Review of Methods for The Image Automatic Annotation
Journal of Physics: Conference Series, 2021 Nowadays, image annotation has attracted extensive attention due to the explosive growth of image data. Large amount of researches on AIA have been proposed, mainly including classification-based methods and probabilistic modeling methods. In this paper,
M. M. Adnan +4 more
semanticscholar +1 more source
Semi-Automatic Cloud-Native Video Annotation for Autonomous Driving
Applied Sciences, 2020 An innovative solution named Annotation as a Service (AaaS) has been specifically designed to integrate heterogeneous video annotation workflows into containers and take advantage of a cloud native highly scalable and reliable design based on Kubernetes ...
Sergio Sánchez-Carballido +3 more
doaj +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
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
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
Journal of Computational Literary Studies, 2022 This paper explores how both annotation procedures and automatic detection (i.e. classifiers) can be used to assess the consistency of textual literary concepts.
Anke Holler +7 more
doaj +2 more sources
Automatic Annotation and Retrieval of Images [PDF]
World Wide Web, 2002 Although a variety of techniques have been developed for content-based image retrieval (CBIR), automatic image retrieval by semantics still remains a challenging problem. We propose a novel approach for semantics-based image annotation and retrieval. Our approach is based on the monotonic tree model.
Song, Yuqing, Wang, Wei, Zhang, Aidong
openaire +3 more sources