Results 1 to 10 of about 370,742 (319)
OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology [PDF]
Big Data and Cognitive Computing, 2020 Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a ...
Christos Makris, Michael Angelos Simos
doaj +9 more sources
A data-centric way to improve entity linking in knowledge-based question answering [PDF]
PeerJ Computer Science, 2023 Entity linking in knowledge-based question answering (KBQA) is intended to construct a mapping relation between a mention in a natural language question and an entity in the knowledge base. Most research in entity linking focuses on long text, but entity
Shuo Liu +4 more
doaj +3 more sources
BELB: a biomedical entity linking benchmark. [PDF]
Bioinformatics, 2023 Abstract Motivation Biomedical entity linking (BEL) is the task of grounding entity mentions to a knowledge base (KB). It plays a vital role in information extraction pipelines for the life sciences literature.
Garda S +3 more
europepmc +4 more sources
Reddit entity linking dataset [PDF]
Information Processing & Management, 2021 20 pages and 4 ...
Nicholas Botzer +2 more
openalex +4 more sources
Entity linking for biomedical literature. [PDF]
BMC Med Inform Decis Mak, 2015 The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received much attention in the life science domain.
Zheng JG +6 more
europepmc +5 more sources
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.
Alex Olieman +4 more
openalex +4 more sources
Multimodal Entity Linking for Tweets [PDF]
Advances in Information Retrieval42nd European Conference on IR Research, 2020 In many information extraction applications, entity linking (EL) has emerged as a crucial task that allows leveraging information about named entities from a knowledge base. In this paper, we address the task of multimodal entity linking (MEL), an emerging research field in which textual and visual information is used to map an ambiguous mention to an ...
Adjali O +4 more
europepmc +4 more sources
Multilingual Autoregressive Entity Linking
Transactions of the Association for Computational Linguistics, 2022 Abstract We present mGENRE, a sequence-to- sequence system for the Multilingual Entity Linking (MEL) problem—the task of resolving language-specific mentions to a multilingual Knowledge Base (KB). For a mention in a given language, mGENRE predicts the name of the target entity left-to-right, token-by-token in an autoregressive fashion ...
Nicola De Cao +9 more
doaj +4 more sources
PPR-SSM: personalized PageRank and semantic similarity measures for entity linking [PDF]
BMC Bioinformatics, 2019 Background Biomedical literature concerns a wide range of concepts, requiring controlled vocabularies to maintain a consistent terminology across different research groups.
Andre Lamurias +2 more
doaj +2 more sources
Combining Word and Entity Embeddings for Entity Linking [PDF]
, 2017 The correct identification of the link between an entity mention in a text and a known entity in a large knowledge base is important in information retrieval or information extraction. The general approach for this task is to generate, for a given mention, a set of candidate entities from the base and, in a second step, determine which is the best one.
José G. Moreno +7 more
openalex +4 more sources