[PDF] Top 20 An Attentive Fine Grained Entity Typing Model with Latent Type Representation
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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 ...the model is confident at predicting the type ... See full document
6
Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
... with Entity Typing methods. Our model significantly outperforms the state-of-the- art entity typing methods over all ...in entity graph and type ...and entity ... See full document
10
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
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AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding
... of fine-grained entity typ- ing to automatically assign categories (en- tity types) to entity ...the entity mention’s local ...separately model “clean” and “noisy” mentions, and ... See full document
10
Neural Architectures for Fine grained Entity Type Classification
... vector representation of each entity men- tion and in its second part used a fixed-size win- dow to capture the context of a ...an attentive neural model that unlike previ- ous work obtained ... See full document
10
Embedding Methods for Fine Grained Entity Type Classification
... in fine grained entity type classification is the absence of labeled training ex- ...a fine grained type classification system should be ro- bust to such noisy training ... See full document
6
Corpus level Fine grained Entity Typing Using Contextual Information
... is fine-grained typing of entities, but types like “Vietnamese urban district” are too fine- ...FIGER type set (Ling and Weld, 2012) that was created with the same goals in ... See full document
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Label Embedding for Zero shot Fine grained Named Entity Typing
... Our ProtoLE embeddings use Continuous-Bag-of-Words (CBOW) word embedding model (Mikolov et al., 2013) trained on Wikipedia dump using a window of 2 words to both directions. We use 300 dimensions for all embedding ... 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
... then type entities based on the tuples they occur in (where NNPLB only uses the subject position for ...perform typing, NNPLB propa- gates activation from known members of a class to other entities whereas ... See full document
103
Exploring Fine grained Entity Type Constraints for Distantly Supervised Relation Extraction
... graphic model to model the incomplete knowledge ...a latent-variable approach to model it and showed its improvement over aggregate and sentential ... See full document
10
Revisiting Selectional Preferences for Coreference Resolution
... Fine-grained entity types. A good model of selectional preferences needs to generalize over named ...our model should be able to judge the plausibility of an unseen sen- tence like The ... See full document
8
Learning to Denoise Distantly Labeled Data for Entity Typing
... this type of data: denoise it with a learned model, then train our final model on clean and denoised distant data with standard super- vised ...a model trained on synthetically-noised exam- ... See full document
11
Fine Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
... performing model based on the develop- ment set and report its result on the test ...proposed model and some of the baselines were implemented using TensorFlow 4 ... See full document
11
Neural Fine Grained Entity Type Classification with Hierarchy Aware Loss
... of Type Embeddings By visualizing the learned type embeddings (Fig- ure 3), we can observe that the parent types are mixed with their subtypes and forms clear distinct clusters without hierarchical loss ... See full document
10
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
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Ultra Fine Entity Typing
... new entity typing task: given a sentence with an entity mention, the goal is to predict a set of free-form phrases ...target entity. This formulation al- lows us to use a new type of ... See full document
10
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
Fine Grained Entity Typing with High Multiplicity Assignments
... As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to in- ...most fine-grained typing work has ... See full document
5
Improving Fine grained Entity Typing with Entity Linking
... using entity linking in our ap- proach can be verified by comparing Ours (Full) and Ours ...the entity linking part is re- ...Using entity linking improves less on ...multiple type paths ... See full document
6
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
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