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[PDF] Top 20 Fine Grained Entity Typing in Hyperbolic Space

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Fine Grained Entity Typing in Hyperbolic Space

Fine Grained Entity Typing in Hyperbolic Space

... tity typing? We study the ability of hyperbolic embeddings to capture hierarchical relations between mentions in context and their target types in a shared vector ...the hyperbolic model yields ... See full document

12

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

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

... than to any other non-candidate types (i.e., Hypoth- esis 2). This constrasts sharply with multi-label learning (Yosef et al., 2012), where a large margin is enforced between all candidate types and non- candidate types ... See full document

10

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

Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing

Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing

... (2018). However, since the training set is still much smaller than that of the Ultra-Fine dataset, the derived co-occurrence statistics are relatively noisy and might introduce undesired bias. We thus add an ... See full document

12

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

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

Ultra Fine Entity Typing

Ultra Fine Entity Typing

... for fine-grained NER systems is typically obtained by linking entity mentions and drawing their types from knowledge bases ...mining entity men- tions that were linked to Wikipedia in HTML, ... See full document

10

Embedding Methods for Fine Grained Entity Type Classification

Embedding Methods for Fine Grained Entity Type Classification

... of fine grained entity type classifications based on label embeddings that allows for information sharing among related ...embedded space. We show that it out- performs state-of-the-art ... See full document

6

Transforming Wikipedia into a Large Scale Fine Grained Entity Type Corpus

Transforming Wikipedia into a Large Scale Fine Grained Entity Type Corpus

... We applied our methodology on a 2013 English Wikipedia dump, leading to a large annotated corpus called WiFiNE, which contains more annotations than similar corpora. We evaluate annotation quality intrinsically on a set ... See full document

8

Multi level Representations for Fine Grained Typing of Knowledge Base Entities

Multi level Representations for Fine Grained Typing of Knowledge Base Entities

... based on the sum of the word embeddings. WLR/CLR and ELR. Representations from entity names, i.e., WLR and CLR, by themselves are limited because many classes of names can be used for different types of entities; ... See full document

12

Assessing the Challenge of Fine Grained Named Entity Recognition and Classification

Assessing the Challenge of Fine Grained Named Entity Recognition and Classification

... Bunescu and Pas¸ca (2006) also perform dis- ambiguation and classification of NEs in context, yet in a different setup. Disambiguation is per- formed into one of the known possible classes for a NE, as determined from ... See full document

9

Corpus level Fine grained Entity Typing Using Contextual Information

Corpus level Fine grained Entity Typing Using Contextual Information

... Our goal is fine-grained typing of entities, but types like “Vietnamese urban district” are too fine- grained. To create a reliable setup for evaluation and to make sure that all types ... See full document

11

Fine grained Semantic Typing of Emerging Entities

Fine grained Semantic Typing of Emerging Entities

... true entity (i.e., an individ- ual entity that is a member of one or more lexi- cal classes) or a non-entity ...true entity if its headword is singular and is consistently capitalized ... 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

Description Based Zero shot Fine Grained Entity Typing

Description Based Zero shot Fine Grained Entity Typing

... For fine-grained entity types, we observe that their associated Wikipedia pages often provide a rich description of the ...Zero-shot Entity Typing (DZET) approach that utilizes the ... See full document

8

Triple Classification Using Regions and Fine-Grained Entity Typing

Triple Classification Using Regions and Fine-Grained Entity Typing

... extend entity- embeddings from vectors into regions, so that the isa re- lation can be implicitly represented by the inclusion rela- tion between regions: zurich region and new york region are located inside the ... See full document

9

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

Improving Fine grained Entity Typing with Entity Linking

Improving Fine grained Entity Typing with Entity Linking

... Fine-grained entity typing is a challenging problem since it usually involves a relatively large tag set and may require to understand the context of the entity ...use entity ... See full document

6

An Attentive Fine Grained Entity Typing Model with Latent Type Representation

An Attentive Fine Grained Entity Typing Model with Latent Type Representation

... Fine-grained entity typing is usually formulated as a multi-label classification ...for fine- grained entity ...Label Space Transformation (Tai and Lin, 2012) and ... See full document

6

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

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