[PDF] Top 20 Learning Entity Representation for Entity Disambiguation
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Learning Entity Representation for Entity Disambiguation
... Entity linking or disambiguation has recently re- ceived much attention in natural language process- ing community (Bunescu and Pasca, 2006; Han et al., 2011; Kataria et al., 2011; Sen, 2012). It is an ... See full document
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Improving Neural Entity Disambiguation with Graph Embeddings
... Graph Embeddings There are various meth- ods to create graph embedding, which can be grouped into the methods based on matrix factor- ization, random walks, and deep learning (Goyal and Ferrara, 2018). ... See full document
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Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation
... an entity from (1) the title of the entity, (2) the title of another entity redirect- ing to the entity, and (3) the names of anchors that point to the ...their entity priors for ... See full document
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LinkNBed: Multi Graph Representation Learning with Entity Linkage
... deep learning solution that can play a vital role in this construc- tion ...active learning and human-in-loop learning to ensure quality of con- structed ... See full document
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Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
... text representation and 300 dimensional word em- beddings, which are again initialized with the pre- trained embeddings in the previous section keep- ing them ... See full document
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Self Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
... an entity pair (head and tail enti- ties) do not express the labelled ...curriculum learning framework to reduce the effects of mislabelled ...sentence representation from the noisy ... See full document
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Mutual Disambiguation for Entity Linking
... Wikipedia-based Disambiguation Methods The use of Wikipedia for explicit disambiguation dates back to (Bunescu and Pasca, 2006) who built a system that compared the context of a mention to the Wikipedia ... See full document
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Named Entity Disambiguation in Streaming Data
... The disambiguation methods we propose fall into a learning scenario known as PU (positive and un- labeled) learning (Liu et ...PU learning, such as the biased-SVM approach (Li and Liu, 2003), ... See full document
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Named Entity Disambiguation for Noisy Text
... for learning semantic sim- ilarity between context, mention, and candidate inputs (Sun et ...measure entity- context relatedness using their embeddings (Ya- mada et ...stand-alone disambiguation ... See full document
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Classifying Relations for Biomedical Named Entity Disambiguation
... named entity disam- biguation, which concerns grounding mentions of named entities in text to unambiguous concepts as defined in some standard dictionary or ...lexical disambiguation tasks is supervised ... See full document
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Exploring Entity Relations for Named Entity Disambiguation
... Standard Features In addition to the previously described features we also implement a set of com- monly accepted features. These include a feature based on the cosine similarity between word vector representations of ... See full document
6
Using Encyclopedic Knowledge for Named entity Disambiguation
... The dataset for each scenario is split into a train- ing dataset and a testing dataset which are dis- joint in terms of the query names used in their examples. For instance, if a query for the name John Williams is ... See full document
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Entity Disambiguation by Knowledge and Text Jointly Embedding
... each entity in Wikipedia, take all surface forms of anchors in that page as its representation ...this representation vec- tor and the context word vector of a given men- tion; (3)BoW Topic ... See full document
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Entity Disambiguation Using a Markov Logic Network
... and learning in Markov logic are discussed in Richardson and Domingos ...online learning method for learning weights and employs cutting plane inference (Riedel 2008) with integer linear programming ... See full document
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Toward Socially Infused Information Extraction: Embedding Authors, Mentions, and Entities
... By learning the semantic interactions be- tween the author embeddings and the pre-trained Freebase entity embeddings, the entity linking sys- tem can incorporate more disambiguating context from the ... See full document
10
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... biguation based on exclusive and non-exclusive character attributes, which can improve the dis- ambiguation effect to some extent, but it did not give a clear explanation for threshold selection on the improvement of the ... See full document
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An Approach to Collective Entity Linking
... an entity, was then used to train a clas- sifier ...tive disambiguation approach, giving formulations for trade-off between mention-entity compatibil- ity and coherence between ... See full document
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Generative Event Schema Induction with Entity Disambiguation
... Previous models (Cheung et al., 2013; Cham- bers, 2013) are based on document-level topic modeling, which originated from models such as Latent Dirichlet Allocation (Blei et al., 2003). Our model is, instead, independent ... See full document
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Graph Ranking for Collective Named Entity Disambiguation
... collective disambiguation approach that jointly disambiguates all NE textual ...of disambiguation is to find a set of nodes where only one candidate is selected from the set of entities associated with each ... See full document
6
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs
... We believe that ELDENs combination of KG densification and entity embeddings is novel. Poor performance of EL systems on sparsely connected entities has been recognized as one of the open challenges by prior ... See full document
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