Results 181 to 190 of about 379,251 (377)

Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework [PDF]

arXiv
Clinical named entity recognition (NER) aims to retrieve important entities within clinical narratives. Recent works have demonstrated that large language models (LLMs) can achieve strong performance in this task. While previous works focus on proprietary LLMs, we investigate how open NER LLMs, trained specifically for entity recognition, perform in ...
arxiv  

A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation Campaign [PDF]

arXiv, 2018
In this report, we describe our participant named-entity recognition system at VLSP 2018 evaluation campaign. We formalized the task as a sequence labeling problem using BIO encoding scheme. We applied a feature-based model which combines word, word-shape features, Brown-cluster-based features, and word-embedding-based features.
arxiv  

Named entity recognition with long short-term memory [PDF]

, 2003
James Hammerton
openalex   +1 more source

Advances in 3D and 4D Printing of Soft Robotics and Their Applications

Advanced Intelligent Systems, EarlyView.
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu, Changchun Wu, Senyuan Lin, James Lam, Ning Xi, Yonghua Chen   +5 more
wiley   +1 more source

Named entity recognition with character-level models [PDF]

, 2003
Dan Klein, Joseph Smarr, Văn Huy Nguyễn, Christopher D. Manning   +3 more
openalex   +1 more source

Investigating Social Immunity in Swarming Locusts via a Triple Animal–Robot–Pathogen Hybrid Interaction

Advanced Intelligent Systems, EarlyView.
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley   +1 more source

Based on BERT-wwm for Agricultural Named Entity Recognition

Agronomy
With the continuous advancement of information technology in the agricultural field, a large amount of unstructured agricultural textual information has been generated.
Qiang Huang, Youzhi Tao, Zongyuan Wu, Francesco Marinello   +3 more
doaj   +1 more source

Multicultural Name Recognition For Previously Unseen Names [PDF]

arXiv
State of the art Named Entity Recognition (NER) models have achieved an impressive ability to extract common phrases from text that belong to labels such as location, organization, time, and person. However, typical NER systems that rely on having seen a specific entity in their training data in order to label an entity perform poorly on rare or unseen
arxiv  

Meta-learning orthographic and contextual models for language independent named entity recognition [PDF]

, 2003
Robert Munro, Daren Ler, Jon Patrick
openalex   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

Advanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng   +2 more
wiley   +1 more source