[PDF] Top 20 Triple Classification Using Regions and Fine-Grained Entity Typing
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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 ... See full document
9
An Attentive Fine Grained Entity Typing Model with Latent Type Representation
... Fine-grained entity typing is usually formulated as a multi-label classification ...binary classification subproblems and in- dependently predicts each ...for fine- ... See full document
6
Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
... 3.4 Recursive Hierarchical Regularization Leaf nodes (in type hierarchy) may have insuffi- cient training examples. In that case, decisions can be regularized by its parent, if a type hier- archy is available. We ... See full document
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Description Based Zero shot Fine Grained Entity Typing
... shot entity typing has also been explored, where most of the prior methods adopt the idea of learning a shared se- mantic space for representing the entities as well as the types, but differ in how they ... See full document
8
Fine grained Semantic Typing of Emerging Entities
... the entity denoted by the noun phrase. For example, an entity named Snoop Dogg that frequently co- occurs with the hsingeri * distinctive voice in * hsongi pattern is likely to be a ...one entity in ... See full document
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Evaluating Word Embeddings in Multi label Classification Using Fine Grained Name Typing
... is fine-grained name typing (FNT). A related task is entity set expansion (ESE): given a set of a few seed entities of a particular class, find other enti- ties (Thelen and Riloff, 2002; Gupta ... See full document
6
Label Embedding for Zero shot Fine grained Named Entity Typing
... There is little related work specifically on zero-shot FNET but several research lines are considered related to this work: fine-grained named entity recognition, prototype-driven learning, and ... See full document
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HYENA live: Fine Grained Online Entity Type Classification from Natural language Text
... 2 Entity Type Classification Systems State-of-the-art tools for named entity recognition such as the Stanford NER Tagger (Finkel et ...performs fine-grained typing of ... See full document
6
Corpus level Fine grained Entity Typing Using Contextual Information
... Named entity recognition (NER) is the task of detecting and classifying named entities in ...of entity classes, recent work has addressed fine-grained NER (Yosef et ...classify entity ... See full document
11
AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding
... of fine-grained types (Yosef et ...(hierarchical) classification prob- lems (Gillick et ...in fine-grained typing and propose three pruning ... See full document
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Yaghoobzadeh, Yadollah (2017): Distributed representations for fine-grained entity typing. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... Named entity recognition (NER) is the task of detecting and classifying named entities in ...of entity classes, recent work has addressed fine-grained NER (Yosef et ...more ... See full document
103
Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing
... Fine-Grained Entity Typing The task of fine- grained entity typing was first thoroughly inves- tigated in (Ling and Weld, 2012), which utilized Freebase-guided ... See full document
12
Neural Fine Grained Entity Type Classification with Hierarchy Aware Loss
... Ren et al. (2016a) have proposed AFET, an FETC system, that separates the loss function for clean and noisy entity mentions and uses label- label correlation information obtained by given data in its parametric ... See full document
10
Ultra Fine Entity Typing
... Experiment Setup The crowdsourced dataset (Section 2.1) was randomly split into train, devel- opment, and test sets, each with about 2,000 ex- amples. We use this relatively small manually- annotated training set (Crowd ... See full document
10
Fine Grained Evaluation for Entity Linking
... an entity based on a known KB la- bel/alias, such as ...as using Moscow to re- fer to wiki:Government of Russia or using Peru to refer to wiki:Peru national football ... See full document
10
Fine Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
... Most recently, Ren et al. (2016) have proposed AFET, an FETC system. AFET separates the loss function for clean and noisy entity mentions. AFET uses label-label correlation information ob- tained by given data in ... See full document
11
Fine grained Entity Set Refinement with User Feedback
... by using positive examples with rich contexts rather than the first positive exam- ple for each ...refining fine- grained ...geographical regions because of re- moval of weak features for ... See full document
5
Fine Grained Classification of Named Entities
... better fine-grained classification of named entities will require not only more sophisticated feature selection, but also a better data generation ...Treating fine-grained ... See full document
7
Fine grained domain classification of text using TERMIUM Plus
... (i.e. using some kind of unique record ...created using the source ...classifier using the fine-grained classification of ... See full document
9
Fine Grained Classification of Named Entities by Fusing Multi Features
... traditional classification methods focus only on the local context features described in Section ...of fine-grained classification, we want to find more context ... See full document
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