[PDF] Top 20 Multi level Representations for Fine Grained Typing of Knowledge Base Entities
Has 10000 "Multi level Representations for Fine Grained Typing of Knowledge Base Entities" found on our website. Below are the top 20 most common "Multi level Representations for Fine Grained Typing of Knowledge Base Entities".
Multi level Representations for Fine Grained Typing of Knowledge Base Entities
... represent entities on three levels: entity, word and character. Our entity-level repre- sentation is similar to work on relation extraction (Wang et ...entity typing (Yaghoobzadeh and Sch¨utze, ... See full document
12
Hierarchical Losses and New Resources for Fine grained Entity Typing and Linking
... Next we evaluate our models on entity-level typ- ing in TypeNet using Wikipedia. For each en- tity, we follow the procedure outlined in Section 4.2. We predict labels for each instance in the en- tity’s bag and ... See full document
13
Corpus level Fine grained Entity Typing Using Contextual Information
... The fine-grained typing of entities performed by FIGMENT can be used for knowledge base completion ...between entities, not on types as we ...entity typing in a way ... See full document
11
Fine Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks
... Nowadays, Knowledge Base (KB for short) at- tracts increasing research interests in various ar- ...of entities with same properties, and is the glue that holds our mental world together (Mur- phy, ... See full document
10
Fine Grained Entity Typing with High Multiplicity Assignments
... In this paper, we focus on the high multiplic- ity case, which we argue naturally arises in large- scale knowledge resources. To illustrate this point, we construct a corpus of entity mentions paired with ... See full document
5
Label Embedding for Zero shot Fine grained Named Entity Typing
... entity typing (NET) is the task of inferring types of named entity mentions in ...e.g., knowledge completion (Dong et ...comparison, fine-grained named entity typing (FNET) (Ling and ... See full document
10
Yaghoobzadeh, Yadollah (2017): Distributed representations for fine-grained entity typing. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... named entities in ...addressed fine-grained NER (Yosef et ...tributed representations of words in a hybrid clas- sifier to classify mentions to 20 ...more fine-grained types by ... See full document
103
Evaluating Word Embeddings in Multi label Classification Using Fine Grained Name Typing
... requires fine-grained analysis of embedding sub- spaces. Multi-label classification is an ap- propriate way to do ...on multi-label classification given a word ...is fine- ... See full document
6
AFET: Automatic Fine Grained Entity Typing by Hierarchical Partial Label Embedding
... of fine-grained types is too expensive and error- prone (hard for annotators to distinguish over 100 types ...Current fine-grained typing sys- tems annotate training corpora ... See full document
10
Fine Grained Classification of Named Entities Exploiting Latent Semantic Kernels
... automatic fine-grained categorization of named entities based on kernel ...methods. Entities are represented by aggregating all contexts in which they ...a multi-level on- tology ... See full document
9
Fine grained Semantic Typing of Emerging Entities
... and knowledge base (KB) construction have been intensively ...new entities are continuously ...mantically typing newly emerging out-of- KB entities, thus improving the freshness and ... See full document
10
Description Based Zero shot Fine Grained Entity Typing
... Zebra) by a set of semantic attributes such as its shape and color. The semantic attributes serve as the intermediate level that connects the visual fea- tures with the classes. The model is trained to learn an ... See full document
8
Imposing Label Relational Inductive Bias for Extremely Fine Grained Entity Typing
... To effectively capture the underlying label cor- relations without access to known type struc- tures, we propose a novel label-relational induc- tive bias, represented by a graph propagation layer that operates in the ... See full document
12
An Enhanced Difference Method for Multi objective Model of Cellular Base Station Antenna Configurations
... a fine-grained grid based multi-objective model which aims at optimizing base station antennas' configurations, such as transmit power, antenna tilt and antenna azimuth, in order to upgrading ... See full document
6
Knowledge Base Inference using Bridging Entities
... the knowledge graph is sparse, ...target entities, then PRA is unable to predict the existence of a ...the knowledge graph with paths obtained from an external ...unconnected entities thereby ... See full document
6
Linking Entities to a Knowledge Base with Query Expansion
... world knowledge to expand query language ...named entities in the local con- texts and explore a positional language model to weigh them differently based on their dis- tances to the ...named ... See full document
10
An Attentive Fine Grained Entity Typing Model with Latent Type Representation
... entity typing aims to assign one or more types to each entity mention given a certain ...These fine-grained entity types are proven to be effective in support- ing a wide range of downstream ... See full document
6
A Fine-Grained Annotated Multi-Dialectal Arabic Corpus
... We present in this paper ARAP-Tweet 2.0, which is a large-scale manually-annotated multi- dialectal Arabic corpus. A first version of this corpus was presented in (Zaghouani and Charfi, 2018a,b) and it was ... See full document
7
Improving Related Entity Finding via Incorporating Homepages and Recognizing Fine grained Entities
... of entities relevant to a query from a huge collection, and proposed three al- gorithms for improvements: a dependency tree- based similarity method, incorporating home- pages of entities to supplement text ... See full document
9
Processing of solid wastes from mines, mineral processing and metallurgical plants-a conceptual case study of small size iron-steel industry, Ballari area , Karnataka, India
... 3.1.6 Final test under optimum Tabling followed by WHIMS: Most of the recommended processes for iron ores indicated gravity concentration followed by WHIMS.. The results of conventional process under optimum conditions ... See full document
10
Related subjects