Results 61 to 70 of about 2,690,170 (252)

Named Entity Recognition Based on Multi-scale Attention [PDF]

Jisuanji kexue yu tansuo
The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly.
TANG Ruixue, QIN Yongbin, CHEN Yanping
doaj   +1 more source

Persian Named Entity Recognition

, 2017
Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails.
Hussain, Amir, Ahsan Adeel, Howard, Newton, Dashtipour, Kia, Mandar Gogate, Amir Hussain, Gogate, Mandar, Adeel, Ahsan, Abdulrahman Algarafi, Kia Dashtipour, Algarafi, Abdulrahman, Newton Howard   +11 more
core   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Enhanced Named Entity Recognition with Semantic Dependency

, 2021
Dependency-based models for the named entity recognition (NER) task have shown promising results by capturing long-distance relationships between words in a sentence.
Peng Wang, Wang, Zhe, Wang, Peng, Feng, Zhiyong, Wang, Kewen, Zhiyong Feng, Xiaowang Zhang, Zhang, Xiaowang, Zhe Wang, Kewen Wang   +9 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Named Entity Recognition Datasets: A Classification Framework

International Journal of Computational Intelligence Systems
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj   +1 more source

Named Entity Recognition: Resource Constrained Maximum Path

ITM Web of Conferences, 2017
Information Extraction (IE) is a process focused on automatic extraction of structured information from unstructured text sources. One open research field of IE relates to Named Entity Recognition (NER), aimed at identifying and associating atomic ...
Di Puglia Pugliese Luigi, Fersini Elisabetta, Guerriero Francesca, Messina Enza   +3 more
doaj   +1 more source

Enhanced Named Entity Recognition through Joint Dependency Parsing

, 2023
Named entity recognition (NER) is the task of identifying and classifying named entities from texts. NER can benefit from linguistic dependency information, yet existing NER models can only utilize such information on datasets where dependency ...
Wang, Z, Wang, K, Feng, Z, Wang, P, Zhang, X   +4 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A pH‐Switchable Cerium Single‐Atom Enzyme for Peri‐Implantitis Therapy via JAK‐STAT Signaling Axis‐Mediated Macrophage Reprogramming

Advanced Science, EarlyView.
A pH‐switchable cerium single‐atom enzyme is developed for stage‐specific peri‐implantitis therapy. Acidic conditions trigger antibacterial peroxidase‐like activity, whereas neutral conditions activate an antioxidant superoxide dismutase ‐ and catalase ‐like enzymatic relay. This microenvironment‐adaptive catalytic strategy suppresses the IL‐6/JAK‐STAT
Xiaomin Xia, Haojie Wu, Xingyun Li, Lining Liu, Kaiqing Song, Jinpei Cui, Jie Liu, Jiaxuan Yin, Emtiaz Ahmed, Yusuke Yamauchi, Xue Li   +10 more
wiley   +1 more source