Results 71 to 80 of about 254,529 (285)
Background Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice.
Kai Xu +4 more
doaj +1 more source
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
Nitrosyl heme emerges as an extracellular nitrodilator that dilates arteries without crossing the cell membrane. Instead, heme‐NO mobilizes NO moieties from a preformed intracellular NO store within vascular smooth muscle, providing both functional and chemical evidence for the NANOS model, revealing a previously unrecognized mechanism of arterial ...
Taiming Liu +9 more
wiley +1 more source
Context-aware multi-token concept recognition of biological entities
Background Concept recognition is a term that corresponds to the two sequential steps of named entity recognition and named entity normalization, and plays an essential role in the field of bioinformatics.
Kwangmin Kim, Doheon Lee
doaj +1 more source
Enriching videos with light semantics [PDF]
This paper describes an ongoing prototypical framework to annotate and retrieve web videos with light semantics. The proposed framework reuses many existing vocabularies along with a video model. The knowledge is captured from three different information
Breslin, John G., Choudhury, Smitashree
core
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun +19 more
wiley +1 more source
Multilingual Language Processing From Bytes
We describe an LSTM-based model which we call Byte-to-Span (BTS) that reads text as bytes and outputs span annotations of the form [start, length, label] where start positions, lengths, and labels are separate entries in our vocabulary.
Brunk, Cliff +3 more
core +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
SSAM: a span spatial attention model for recognizing named entities
Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often classify each entity span
Kai Wang +3 more
doaj +1 more source
Discovering Power Laws in Entity Length
This paper presents a discovery that the length of the entities in various datasets follows a family of scale-free power law distributions. The concept of entity here broadly includes the named entity, entity mention, time expression, aspect term, and ...
Cambria, Erik +2 more
core

