Results 41 to 50 of about 833 (102)
Hipervinculación de documentos con Máquinas de Soporte Vectorial [PDF]
, 2018 En la actualidad el acceso a la información se da por medio de hipervínculos, los cuales interconectan los textos entre si únicamente si contienen una relación. Varios investigadores han estudiado la forma en que los humanos crean los hipervínculos y han
SERRANO LEON, ALAN JOSUE +1 more
core
Neural Collective Entity Linking
, 2018 Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independently, which may usually fail due to ...
Cao, Yixin +3 more
core
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 +3 more
core +2 more sources
Deep Joint Entity Disambiguation with Local Neural Attention
, 2017 We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations. Key components are entity embeddings, a neural attention mechanism over local context windows, and a differentiable ...
Ganea, Octavian-Eugen, Hofmann, Thomas
core +1 more source
Graph-to-Sequence Learning using Gated Graph Neural Networks
, 2018 Many NLP applications can be framed as a graph-to-sequence learning problem. Previous work proposing neural architectures on this setting obtained promising results compared to grammar-based approaches but still rely on linearisation heuristics and/or ...
Beck, Daniel +2 more
core +1 more source
Unsupervised query reduction for efficient yet effective news background linking. [PDF]
PeerJ Comput Sci, 2023 Essam M, Elsayed T.
europepmc +1 more source
Generating Natural Language from Linked Data:Unsupervised template extraction [PDF]
, 2013 We propose an architecture for generating natural language from Linked Data that automatically learns sentence templates and statistical document planning from parallel RDF datasets and text.
Duma, Daniel, Klein, Ewan
core +1 more source
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
, 2017 Entity linking has recently been the subject of a significant body of research. Currently, the best performing approaches rely on trained mono-lingual models. Porting these approaches to other languages is consequently a difficult endeavor as it requires
Bryl Volha +14 more
core +1 more source
Keyword Extraction: A Modern Perspective. [PDF]
SN Comput Sci, 2023 Nomoto T.
europepmc +1 more source
Multi-objective genetic programming strategies for topic-based search with a focus on diversity and global recall. [PDF]
PeerJ Comput Sci, 2023 Baggio C +3 more
europepmc +1 more source