Results 81 to 90 of about 408,758 (354)

TNNT [PDF]

Proceedings of the 11th Knowledge Capture Conference, 2021
Extraction of categorised named entities from text is a complex task given the availability of a variety of Named Entity Recognition (NER) models and the unstructured information encoded in different source document formats. Processing the documents to extract text, identifying suitable NER models for a task, and obtaining statistical information is ...
Armin Haller, Kerry Taylor, Pouya Ghiasnezhad Omran, Sandaru Seneviratne, Sergio José Rodríguez Méndez, Xuecheng Zhang   +5 more
openaire   +3 more sources

Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances

Applied Sciences
Biomedical named entity recognition (BioNER) aims to identify and classify biomedical entities (i.e., diseases, chemicals, and genes) from text into predefined classes. This process serves as an important initial step in extracting biomedical information
Yesol Park, Gyujin Son, Mina Rho
doaj   +1 more source

ChineseCTRE: A Model for Geographical Named Entity Recognition and Correction Based on Deep Neural Networks and the BERT Model

ISPRS International Journal of Geo-Information, 2023
Social media is widely used to share real-time information and report accidents during natural disasters. Named entity recognition (NER) is a fundamental task of geospatial information applications that aims to extract location names from natural ...
Wei Zhang, Jingtao Meng, Jianhua Wan, Chengkun Zhang, Jiajun Zhang, Yuanyuan Wang, Liuchang Xu, Fei Li   +7 more
doaj   +1 more source

OWNER — Toward Unsupervised Open-World Named Entity Recognition

IEEE Access
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest, Pierre-Edouard Portier, Elod Egyed-Zsigmond, Martino Lovisetto   +3 more
doaj   +1 more source

The multilingual named entity recognition framework [PDF]

Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - EACL '03, 2003
This paper presents a multilingual system designed to recognize named entities in a wide variety of languages (currently more than 12 languages are concerned). The system includes original strategies to deal with a wide variety of encoding character sets, analysis strategies and algorithms to process these languages.
openaire   +3 more sources

Biomedical Named Entity Recognition at Scale [PDF]

, 2021
Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a crucial role by extracting meaningful chunks from clinical notes and reports, which are then fed to downstream tasks like assertion status ...
Veysel Kocaman, David Talby
openaire   +3 more sources

Deep learning-based methods for natural hazard named entity recognition

Scientific Reports, 2022
Natural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts. The method of natural hazard named entity recognition can facilitate acquisition of natural hazards information and provide ...
Junlin Sun, Yanrong Liu, Jing Cui, Handong He   +3 more
doaj   +1 more source

Nested Named Entity Recognition with Span-level Graphs

Annual Meeting of the Association for Computational Linguistics, 2022
Span-based methods with the neural networks backbone have great potential for the nested named entity recognition (NER) problem. However, they face problems such as degenerating when positive instances and negative instances largely overlap. Besides, the
Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu   +3 more
semanticscholar   +1 more source

Named Entity Recognition Using Web Document Corpus

, 2011
This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE) can be a named: location, person, organization, date, time, etc., characterized by instances.
Karaa, Wahiba Ben Abdessalem
core   +2 more sources

Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity [PDF]

, 2006
In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Matwin, Stan, Nadeau, David, Turney, Peter D.   +2 more
core   +2 more sources