Results 31 to 40 of about 1,142,269 (203)

Entity Linking on Chinese Microblogs via Deep Neural Network

open access: yesIEEE Access, 2018
Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
doaj   +1 more source

OGER++: hybrid multi-type entity recognition

open access: yesJournal of Cheminformatics, 2019
Background We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept recognition (linking), which combines a dictionary-based annotator with a corpus ...
Lenz Furrer   +3 more
doaj   +1 more source

Integrating various resources for gene name normalization. [PDF]

open access: yesPLoS ONE, 2012
The recognition and normalization of gene mentions in biomedical literature are crucial steps in biomedical text mining. We present a system for extracting gene names from biomedical literature and normalizing them to gene identifiers in databases.
Yuncui Hu   +4 more
doaj   +1 more source

NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense

open access: yesBig Data and Cognitive Computing, 2021
An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of
Ahmed Aliwy, Ayad Abbas, Ahmed Alkhayyat
doaj   +1 more source

DBpedia Spotlight: Shedding Light on the Web of Documents [PDF]

open access: yes, 2011
Interlinking text documents with Linked Open Data enables the Web of Data to be used as background knowledge within document-oriented applications such as search and faceted browsing. As a step towards interconnecting the Web of Documents with the Web of
Andrés García-Silva   +8 more
core   +1 more source

An automatically built named entity lexicon for Arabic [PDF]

open access: yes, 2010
We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed   +4 more
core   +2 more sources

Finding Nineteenth-century Berry Spots

open access: yesDigital Humanities in the Nordic and Baltic Countries Publications, 2019
The paper studies and improves methods of named entity recognition (NER) and linking (NEL) for facilitating historical research, which uses digitized newspaper texts. The specific focus is on a study about historical process of commodification.
Matti La Mela   +2 more
doaj   +1 more source

Challenges in Rendering Arabic Text to English Using Machine Translation: A Systematic Literature Review

open access: yesIEEE Access, 2023
The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah   +1 more
doaj   +1 more source

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

open access: yes, 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 ...
Turney, Peter   +8 more
core   +1 more source

Cluster-based mention typing for named entity disambiguation [PDF]

open access: yesNatural Language Engineering, 2020
AbstractAn entity mention in text such as “Washington” may correspond to many different named entities such as the city “Washington D.C.” or the newspaper “Washington Post.” The goal of named entity disambiguation (NED) is to identify the mentioned named entity correctly among all possible candidates.
Arda Çelebi, Arzucan Özgür
openaire   +2 more sources

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