Results 101 to 110 of about 14,087 (197)

J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features

Transactions of the Association for Computational Linguistics, 2021
Dat Ba Nguyen, Martin Theobald, Gerhard Weikum   +2 more
doaj   +1 more source

Construction and application of knowledge mapping of carbon emission governance technologies for coal mining and utilization

Meitan kexue jishu
Coal is the main force of carbon reduction in energy consumption, and the carbon emissions generated in the process of coal exploitation and utilization account for about 60%−70% of the total national carbon emissions, which is the key to accomplishing ...
Ying WANG, Liya WANG, Fei MA, Yang YANG, Zishuai ZU   +4 more
doaj   +1 more source

Graph-based Semantic Relatedness for Named Entity Disambiguation

, 2009
Natural Language is a mean to express and discuss about concepts, objects, events, i.e. it carries semantic contents. The SemanticWeb aims at tightly coupling contents with their precise meanings. One of the ultimate roles of Natural Language Processing techniques is identifying the meaning of the text, providing effective ways to make a proper linkage
Gentile, Anna Lisa, Zhang, Ziqi, Xia, Lei, Iria, José   +3 more
openaire   +2 more sources

A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing

Engineering Proceedings
Business and science are using sentiment analysis to extract and assess subjective information from the web, social media, and other sources using NLP, computational linguistics, text analysis, image processing, audio processing, and video processing. It
Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar   +3 more
doaj   +1 more source

Knowledge Graph Driven Grain Big Data Applications: Overview and Perspective

智慧农业
[Significance]Grain production spans multiple stages and involves numerous heterogeneous factors, including agronomic inputs, natural resources, environmental conditions, and socio-economic variables. However, the associated data generated throughout the
YANG Chenxue, LI Xian, ZHOU Qingbo
doaj   +1 more source

Benchmarking Named Entity Disambiguation approaches for Streaming Graphs

, 2014
Named Entity Disambiaguation (NED) is a central task for applications dealing with natural language text. Assume that we have a graph based knowledge base (subsequently referred as Knowledge Graph) where nodes represent various real world entities such as people, location, organization and concepts.
Choudhury, Sutanay, Dowling, Chase
openaire   +2 more sources

KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition

, 2017
KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge. A novel modular framework divides the knowledge into four categories according to the depth of knowledge they convey.
Del Corro, Luciano, Dembelova, Tatiana, Hoffart, Johannes, Seyler, Dominic, Weikum, Gerhard   +4 more
core  

Unsupervised Named Entity Disambiguation for Low Resource Domains

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
In the ever-evolving landscape of natural language processing and information retrieval, the need for robust and domain-specific entity linking algorithms has become increasingly apparent. It is crucial in a considerable number of fields such as humanities, technical writing and biomedical sciences to enrich texts with semantics and discover more ...
Datta, Debarghya, Pramanik, Soumajit
openaire   +2 more sources

Improvement of Graph based Named Entity Disambiguation [PDF]

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications, 2016
Su-Juan Qin, Xiao Yang
openaire   +1 more source

Word Sense Disambiguation with Wikipedia Entities: A Survey of Entity Linking Approaches. [PDF]

Entropy (Basel)
Simos MA, Makris C.
europepmc   +1 more source