Results 1 to 10 of about 36,529 (186)
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
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
A practical and nuanced framework for entity linking evaluation [PDF]
Journal of Biomedical SemanticsBackground Entity linking maps textual mentions with entities in vocabularies. While accuracy is the primary metric for entity linking evaluation, it fails to capture the complexity of model behaviour.
Fuqi Xu, Goran Nenadic, Robert Stevens
doaj +2 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
Multimodal Entity Linking for Tweets [PDF]
Advances in Information Retrieval, 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
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 +5 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
SynEL: A synthetic benchmark for entity linking. [PDF]
PLoS ONELarge language models (LLMs) offer significant potential for constructing commonsense knowledge graphs from text, demonstrating adaptability across diverse domains.
Ilia Karpov +9 more
doaj +2 more sources
Gold standard, multi-genre dataset for named entity recognition and linking [PDF]
Scientific DataIn our study, we introduce a new dataset designed for the evaluation of entity-linking systems. Entity Linking (EL) involves identifying specific segments in a text so-called mentions and linking them to relevant entries in an external Knowledge Base (KB)
Szymon Olewniczak, Julian Szymański
doaj +2 more sources