Results 1 to 10 of about 41,163,437 (285)

Transformer-based active learning for multi-class text annotation and classification. [PDF]

open access: yesDigit Health
Objective Data-driven methodologies in healthcare necessitate labeled data for effective decision-making. However, medical data, particularly in unstructured formats, such as clinical notes, often lack explicit labels, making manual annotation ...
Afzal M   +5 more
europepmc   +3 more sources

Towards cross-platform interoperability for machine-assisted text annotation. [PDF]

open access: yesGenomics Inform, 2019
In this paper, we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements of annotation models and processes that are ...
Eckart de Castilho R   +4 more
europepmc   +2 more sources

Understanding the experience of neurodivergent workers in image and text data annotation

open access: yesComputers in Human Behavior Reports, 2023
With the rise of large-scale data-driven innovation in AI, data annotation tasks found in digital work environments present an employment opportunity for neurodivergent individuals.
Slobodan Vucetic   +2 more
exaly   +3 more sources

Extending TextAE for annotation of non-contiguous entities [PDF]

open access: yesGenomics & Informatics, 2020
Named entity recognition tools are used to identify mentions of biomedical entities in free text and are essential components of high-quality information retrieval and extraction systems.
Jake Lever, Russ Altman, Jin-Dong Kim
doaj   +1 more source

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts

open access: yesFrontiers in Artificial Intelligence, 2023
The emergence of ChatGPT has sensitized the general public, including the legal profession, to large language models' (LLMs) potential uses (e.g., document drafting, question answering, and summarization).
Jaromir Savelka, Kevin D. Ashley
doaj   +1 more source

From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration

open access: yesMedia and Communication, 2021
In recent debates on offensive language in participatory online spaces, the term ‘hate speech’ has become especially prominent. Originating from a legal context, the term usually refers to violent threats or expressions of prejudice against particular ...
Sünje Paasch-Colberg   +3 more
doaj   +1 more source

Clustering of media content from social networks using bigdata technology [PDF]

open access: yesКомпьютерная оптика, 2018
The article deals with one of the key problems of the social network analysis – the problem of classifying accounts based on media content uploaded by users.
Igor Rytsarev   +2 more
doaj   +1 more source

Text Semantic Annotation: A Distributed Methodology Based on Community Coherence

open access: yesAlgorithms, 2020
Text annotation is the process of identifying the sense of a textual segment within a given context to a corresponding entity on a concept ontology.
Christos Makris   +2 more
doaj   +1 more source

Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia

open access: yesInformation, 2022
The induction of the semantics of unstructured text corpora is a crucial task for modern natural language processing and artificial intelligence applications.
Michael Angelos Simos, Christos Makris
doaj   +1 more source

Performance and Agreement When Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

open access: yesDiagnostics, 2023
A chest X-ray report is a communicative tool and can be used as data for developing artificial intelligence-based decision support systems. For both, consistent understanding and labeling is important.
Dana Li   +14 more
doaj   +1 more source

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