Results 211 to 220 of about 318,360 (330)
Named entity recognition: adapting to microblogging [PDF]
Locke, Brian William
core +2 more sources
Abstract Provenance is the story of how something has come to be. In this paper, we provide a systematic literature review to categorize the various notions of provenance in Information Sciences. The goal of this review is to paint a broader picture of the multiple uses of provenance at play and to enhance our understanding of the importance of ...
Rhiannon Bettivia +2 more
wiley +1 more source
Gold standard, multi-genre dataset for named entity recognition and linking. [PDF]
Olewniczak S, Szymański J.
europepmc +1 more source
Abstract The term semantic primitives refers to a set of basic, atomic concepts from which all other (compound) concepts are constructed. It presupposes the principle of compositionality—the idea that complex items or expressions can be formed by combining simpler constituents.
Birger Hjørland
wiley +1 more source
Span-based annotation framework for LLM-based clinical named entity recognition: development and validation using Korean emergency department notes. [PDF]
Jang EH +4 more
europepmc +1 more source
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning [PDF]
Xuan Wang +7 more
openalex +1 more source
Abstract Institutional repositories (IRs) are essential in advancing Open Access and facilitating the dissemination of scholarly work. This systematic review examines the challenges faced by IRs in areas such as strategic alignment, content acquisition, funding, staffing, quality assurance, and technology.
Laura Rothfritz +3 more
wiley +1 more source
Nested named entity recognition in traditional Chinese medicine electronic medical records via dual-granularity feature augmentation and span classification. [PDF]
Minghao L, Qing Y, Chunlei C, Peng L.
europepmc +1 more source
Unsupervised Ranking of Knowledge Bases for Named Entity Recognition
Yassine Mrabet +2 more
openalex +1 more source
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source

