Results 11 to 20 of about 1,142,269 (203)
Classifying relations for biomedical named entity disambiguation [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 3 - EMNLP '09, 2009 Named entity disambiguation concerns linking a potentially ambiguous mention of named entity in text to an unambiguous identifier in a standard database. One approach to this task is supervised classification.
Ananiadou, Sophia; id_orcid +2 more
core +10 more sources
Mining evidences for named entity disambiguation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013 Named entity disambiguation is the task of disambiguating named entity mentions in natural language text and link them to their corresponding entries in a knowledge base such as Wikipedia.
Chi Wang +5 more
core +3 more sources
Collective Approaches to Named Entity Disambiguation [PDF]
, 2014 Internet content has become one of the most important resources of information. Much of this information is in the form of natural language text and one of the important components of natural language text is named entities.
Alhelbawy, Ayman
core +8 more sources
Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]
, 2013 The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
core +6 more sources
Named entity extraction and disambiguation [PDF]
Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval, 2013 Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency.
Mena Badieh Habib Morgan +1 more
openaire +2 more sources
Named Entity Extraction for Knowledge Graphs: A Literature Overview
IEEE Access, 2020 An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
doaj +1 more source
Named Entity Disambiguation for Maritime-related Data Retrieved from Heterogenous Sources [PDF]
TransNav, 2016 The article concerns integration and disambiguation of data related to the maritime domain. A developed system is described, which collects and merges data about several maritime-related entities (vessels, vessel types, ports, companies etc.) retrieved ...
Jacek Malyszko +2 more
doaj +1 more source
An Entity Disambiguation Method Based on Deep Learning
Nantong Daxue xuebao. Ziran kexue ban, 2021 The traditional named entity disambiguation technology usually relies on rich context and knowledge of external entities. However, many emerging entities lack knowledge bases and the text containing entities is short.
WEN Wanzhi; JIANG Wenxuan; GE Wei; ZHU Kai; LI Xikai; WU Xuefei
doaj +1 more source
Named Entity Disambiguation for Noisy Text [PDF]
Proceedings of the 21st Conference on Computational Natural Language
Learning (CoNLL 2017), 2017 We address the task of Named Entity Disambiguation (NED) for noisy text. We present WikilinksNED, a large-scale NED dataset of text fragments from the web, which is significantly noisier and more challenging than existing news-based datasets. To capture the limited and noisy local context surrounding each mention, we design a neural model and train it ...
Yotam Eshel +5 more
openaire +2 more sources
IEEE Access, 2020 Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in an input-text sequence to their correct references in a knowledge graph.
Zizheng Ji +3 more
doaj +1 more source