Results 161 to 170 of about 6,924 (296)

Utterance evolution: the road to generative, combinatorial communicators

Biological Reviews, EarlyView.
ABSTRACT Language has long been considered uniquely complex in the animal kingdom; however, animal research over the last decade has begun to challenge some long‐standing premises about exactly which language capacities are uniquely human. The task of resolving why and how complex communication systems evolve, particularly human language, has ...
Catherine Crockford, Roman Martin Wittig, Cedric Girard‐Buttoz   +2 more
wiley   +1 more source

Fine-tuning NER for Triplet Extraction in Medical Knowledge Graph Construction

Journal of ICT Research and Applications
This study presents a new approach for constructing a medical knowledge graph using Named Entity Recognition (NER) to identify entities such as diseases, drugs, or medical procedures, alongside part-of-speech (POS) tagging and dependency parsing to ...
Richard Reinhart, Masayu Leylia Khodra
doaj  

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source

Joint Incremental Disfluency Detection and Dependency Parsing

Transactions of the Association for Computational Linguistics, 2021
Matthew Honnibal, Mark Johnson
doaj   +1 more source

ESG Disclosure Quality as Organizational Information Processing: Comparing Human Coding, Rule‐Based Automation, and LLM Semantic Scoring

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley   +1 more source

Efficient Stacked Dependency Parsing by Forest Reranking

Transactions of the Association for Computational Linguistics, 2021
Katsuhiko Hayashi, Shuhei Kondo, Yuji Matsumoto   +2 more
doaj   +1 more source

On‐deck pH measurement with integrated feedback control on a micro‐scale platform for monoclonal antibody low pH viral inactivation

Biotechnology Progress, EarlyView.
Integrating an automated, on‐deck pH measurement method with feedback control enables precise, real‐time pH adjustment during low pH viral inactivation on a micro‐scale platform. Abstract The increasing demand for efficient monoclonal antibody manufacturing has accelerated the adoption of high throughput process development (HTPD) platforms, which ...
Paras Sharma, Nikolas von den Eichen, Sabine Schweisgut, Lars Robbel, Michael Schmitt, Daniel G. Bracewell   +5 more
wiley   +1 more source

Entity relationship extraction method based on dependency parsing and graph neural networks. [PDF]

Sci Rep
Wei F, Liu X, Pan L, Zhao W, Shi G, Zeng Z, Jiao Y.   +6 more
europepmc   +1 more source

A Graph‐Based Generative Artificial Intelligence Methodology for Autocorrection of Utility‐System P&IDs

Chemie Ingenieur Technik, EarlyView.
This work explores generative AI for automated revision of Piping and Instrumentation Diagrams (P&IDs). We frame P&ID correction as a translation problem, converting attributed P&ID graphs into sequences and learning revisions with a transformer‐based model.
Lukas Schulze Balhorn, Dominik P. Goldstein, Niels Seijsener, Kevin Dao, Ge H. M. Driessen, Artur M. Schweidtmann   +5 more
wiley   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source