Unsupervised Domain Adaptation for Joint Segmentation and POS-Tagging
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Domain AdaptationPart-Of-Speech TaggingPOSPOS TaggingUnsupervised Domain AdaptationSimilar Papers 제목 키워드 기반
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging
Multi-task Domain Adaptation for Sequence Tagging
Many domain adaptation approaches rely on learning cross domain shared representations to transfer the knowledge learned in one domain to other domains. Traditional domain adaptation only considers adapting for one task.…
Chinese Word SegmentationDomain Adaptationnamed-entity-recognitionNamed Entity Recognition+2Online Updating of Word Representations for Part-of-Speech Tagging
We propose online unsupervised domain adaptation (DA), which is performed incrementally as data comes in and is applicable when batch DA is not possible. In a part-of-speech (POS) tagging evaluation, we find that online …
Domain AdaptationOnline unsupervised domain adaptationPart-Of-Speech TaggingPOS+2Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Automatic segmentation of infection areas in computed tomography (CT) images has proven to be an effective diagnosis approach for COVID-19. However, due to the limited number of pixel-level annotated medical images, accu…
Computed Tomography (CT)Domain AdaptationSegmentationUnsupervised Domain AdaptationPTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging
This paper describes PTST, a source-free unsupervised domain adaptation technique for sequence tagging, and its application to the SemEval-2021 Task 10 on time expression recognition. PTST is an extension of the cross-li…
Domain AdaptationUnsupervised Domain Adaptation