Results 41 to 50 of about 373,524 (318)

Entity linking by focusing DBpedia candidate entities [PDF]

Proceedings of the first international workshop on Entity recognition & disambiguation - ERD '14, 2014
Recently, Entity Linking and Retrieval turned out to be one of the most interesting tasks in Information Extraction due to its various applications. Entity Linking (EL) is the task of detecting mentioned entities in a text and linking them to the corresponding entries of a Knowledge Base.
Olieman, A., Azarbonyad, H., Dehghani, M., Kamps, J., Marx, M.   +4 more
openaire   +3 more sources

Enhancement of Question Answering System Accuracy via Transfer Learning and BERT

Applied Sciences, 2022
Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base Question Answering (CKBQA). Compared with the English entity linking task, the Chinese entity linking is extremely complicated, making accurate Chinese entity linking ...
Kai Duan, Shiyu Du, Yiming Zhang, Yanru Lin, Hongzhuo Wu, Quan Zhang   +5 more
doaj   +1 more source

MELArt: A Multimodal Entity Linking Dataset for Art [PDF]

Transactions on Graph Data and Knowledge
Traditional named entity linking (NEL) tools have largely employed a general-domain approach, spanning across various entity types such as persons, organizations, locations, and events in a multitude of contexts.
Sierra-Múnera, Alejandro, Le, Linh, Demartini, Gianluca, Krestel, Ralf   +3 more
doaj   +1 more source

LGCFPEL: local-global correlation fusion for probabilistic collective entity linking [PDF]

PeerJ Computer Science
Entity linking, as a key technology for heterogeneous information networks modeling and semantic knowledge retrieval, has attracted significant attention. However, current entity linking methods suffer from three main limitations: (1) They generally rely
Jie Liu, Kai Han, Lu Liu, Yun Zhang, Yunbin Yan, Hairui Dong   +5 more
doaj   +2 more sources

Embracing Uncertainty in Entity Linking [PDF]

, 2012
An important task in data integration and data cleaning is the identification of data that describe the same real-world object, such as an event, a person, or a movie. There are various techniques to tackle this problem. The typical methodology is to collect matching evidence, such as similarities between the entity strings, and based on them, generate
E. Ioannou, W. Nejdl, C. Niederee, Velegrakis, Ioannis   +3 more
openaire   +2 more sources

Semantically linking molecular entities in literature through entity relationships [PDF]

BMC Bioinformatics, 2012
Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios.
Landeghem, S. (author), Bjorne, J. (author), Abeel, T.E.P.M.F. (author), De Baets, B. (author), Salakoski, T. (author), Van de Peer, Y. (author)   +5 more
openaire   +4 more sources

Neural Cross-Lingual Entity Linking

, 2017
A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different contexts.
Florian, Radu, Hamza, Wael, Kundu, Gourab, Sil, Avirup   +3 more
core   +2 more sources

Entity Linking

, 2017
Entity linking may be of help to quickly supplement a reader with further information about entities within a text by providing links to a knowledge base containing more information about each entity, and may thus potentially enhance the reading experience.
Diana Maynard, Kalina Bontcheva, Isabelle Augenstein   +2 more
openaire   +3 more sources

Building Knowledge Graphs and Recommender Systems for Suggesting Reskilling and Upskilling Options from the Web

Information, 2022
As advances in science and technology, crisis, and increased competition impact labor markets, reskilling and upskilling programs emerged to mitigate their effects. Since information on continuing education is highly distributed across websites, choosing
Albert Weichselbraun, Roger Waldvogel, Andreas Fraefel, Alexander van Schie, Philipp Kuntschik   +4 more
doaj   +1 more source

Interactive Entity Linking Using Entity-Word Representations

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
To leverage on entity and word semantics in entity linking, embedding models have been developed to represent entities, words and their context such that candidate entities for each mention can be determined and ranked accurately using their embeddings.
LO, Pei Chi, LIM, Ee-Peng
openaire   +2 more sources