Results 41 to 50 of about 20,627 (210)
Improving named entity disambiguation by iteratively enhancing certainty of extraction [PDF]
, 2011 Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web.
Habib, Mena B., Keulen, Maurice van
core +12 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
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Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
, 2018 Collective entity disambiguation aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works are primarily based on the underlying assumption that entities within the same document are highly
Han, Jialong +4 more
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning [PDF]
, 2018 Over the past years, distributed semantic representations have proved to be effective and flexible keepers of prior knowledge to be integrated into downstream applications. This survey focuses on the representation of meaning.
Camacho-Collados, Jose +1 more
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Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation [PDF]
, 2017 Interpretability of a predictive model is a powerful feature that gains the trust of users in the correctness of the predictions. In word sense disambiguation (WSD), knowledge-based systems tend to be much more interpretable than knowledge-free ...
Biemann, Chris +6 more
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OGER++: hybrid multi-type entity recognition
Journal 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
Entity Disambiguation via Fusion Entity Decoding
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)Entity disambiguation (ED), which links the mentions of ambiguous entities to their referent entities in a knowledge base, serves as a core component in entity linking (EL). Existing generative approaches demonstrate improved accuracy compared to classification approaches under the standardized ZELDA benchmark.
Wang, Junxiong +7 more
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Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Entity Disambiguation with Knowledge Graph
, 2021 This presentation was presented at KGC 2021.
Zhang, Chen, Dolgopolov, Dmytro
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Probabilistic Bag-Of-Hyperlinks Model for Entity Linking
, 2016 Many fundamental problems in natural language processing rely on determining what entities appear in a given text. Commonly referenced as entity linking, this step is a fundamental component of many NLP tasks such as text understanding, automatic ...
Bunescu R. C. +7 more
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