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[PDF] Top 20 Improving Fine grained Entity Typing with Entity Linking

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Improving Fine grained Entity Typing with Entity Linking

Improving Fine grained Entity Typing with Entity Linking

... target entity, we can directly obtain the type in- formation about this entity in the knowledge base ...using entity linking results is also ... See full document

6

Ultra Fine Entity Typing

Ultra Fine Entity Typing

... on fine- grained NER literature (Gillick et ...coarse grained labels, and this is- sue is exacerbated when dealing with ultra-fine ...while entity linking improves fine ... See full document

10

AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding

AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding

... Distant supervision has been widely used in current systems of fine-grained entity typ- ing to automatically assign categories (en- tity types) to entity mentions. However, the types so ... See full document

10

Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

... an Entity Graph, further proposed a network embedding framework to learn the corre- lation among ...rich entity features to entity graph structures, as recent studies have suggested to bring both ... See full document

10

Corpus level Fine grained Entity Typing Using Contextual Information

Corpus level Fine grained Entity Typing Using Contextual Information

... of entity linking has some mutual dependencies with entity ...when entity typing and linking are jointly modeled (Ling et ...high-performance entity linking, but ... See full document

11

An Attentive Fine Grained Entity Typing Model with Latent Type Representation

An Attentive Fine Grained Entity Typing Model with Latent Type Representation

... for fine- grained entity typing with latent type representa- ...of fine-grained types, which is still lower than that of general types due to less training instances and distant ... See full document

6

Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing

Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing

... Existing entity typing systems usually ex- ploit the type hierarchy provided by knowl- edge base (KB) schema to model label cor- relations and thus improve the overall perfor- ... See full document

12

Yaghoobzadeh, Yadollah
  

(2017):


	Distributed representations for fine-grained entity typing.


Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

Yaghoobzadeh, Yadollah (2017): Distributed representations for fine-grained entity typing. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik

... for typing). To perform typing, NNPLB propa- gates activation from known members of a class to other entities whereas PEARL assigns types to the argument slots of ... See full document

103

Improving Named Entity Linking Corpora Quality

Improving Named Entity Linking Corpora Quality

... Today’s NEL evaluation tools automatically com- pare the performance of multiple NEL systems on various data sets using a wide variety of ex- periments (e.g., NER - Named Entity Recogni- tion, Entity ... See full document

10

Improving Related Entity Finding via Incorporating Homepages and Recognizing Fine grained Entities

Improving Related Entity Finding via Incorporating Homepages and Recognizing Fine grained Entities

... toward entity ex- traction and fine-grained named entity recogni- ...list-based entity extraction may be essential due to the considerable number of an- swer entities scattered in ... See full document

9

Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence

Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence

... Query & Object Mapping Company Disambiguation Profile Location Disambiguation Profile Person Disambiguation Profile Named Entity Annotations Amitay-based Disambiguation Al[r] ... See full document

21

Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence

Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence

... Table 6 summarizes the results of the named entity link- ing. Again, there is a clear correlation between the applied name pre-processing and the obtained performance. Eval- uations which use the raw names (no ... See full document

11

Fine Grained Entity Typing in Hyperbolic Space

Fine Grained Entity Typing in Hyperbolic Space

... Type inventories for the task of fine-grained entity typing (Ling and Weld, 2012; Gillick et al., 2014; Yosef et al., 2012) have grown in size and com- plexity (Del Corro et al., 2015; Murty ... See full document

12

Fine Grained Entity Typing with High Multiplicity Assignments

Fine Grained Entity Typing with High Multiplicity Assignments

... on entity typing has moved beyond coarse-grained systems towards richer ontologies with much more detailed information, and therefore correspond- ingly more specific types (Ling and Weld, 2012; ... See full document

5

Fine Grained Evaluation for Entity Linking

Fine Grained Evaluation for Entity Linking

... While the previous results provide insights into different design choices taken by different systems with respect to different types of EL annotations, still, per Table 1, the results are perhaps too fine- ... See full document

10

FINET: Context Aware Fine Grained Named Entity Typing

FINET: Context Aware Fine Grained Named Entity Typing

... named entity only if the types were ex- ...more fine-grained typing stemmed from FINET’s use of multiple ex- tractors, many of which do not rely on ... See full document

11

Hierarchical Losses and New Resources for Fine grained Entity Typing and Linking

Hierarchical Losses and New Resources for Fine grained Entity Typing and Linking

... a fine grained type or entity in a knowledge ...benchmark entity typing datasets only consider small label sets arranged in very shallow ...standard fine grained ... See full document

13

Triple Classification Using Regions and Fine-Grained Entity Typing

Triple Classification Using Regions and Fine-Grained Entity Typing

... To predict truth-value of (h, r, x), our model must have at least one tail t of (h, r, t) in the training set. We remove all Triples in the testing set, which does not have sample tails in the training set. Final dataset ... See full document

9

Label Embedding for Zero shot Fine grained Named Entity Typing

Label Embedding for Zero shot Fine grained Named Entity Typing

... Named entity typing is the task of detecting the types of a named entity in ...named entity typing cannot work with a growing type set and fails to recognize entity mentions of ... See full document

10

Exploiting Syntactico Semantic Structures for Relation Extraction

Exploiting Syntactico Semantic Structures for Relation Extraction

... predefined entity types, we build a fine-grained mention entity typing (MET) clas- sifier to disambiguate between 44 labels (43 fine- grained and a null label to indicate ... See full document

10

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