• No results found

[PDF] Top 20 A Generative Entity Mention Model for Linking Entities with Knowledge Base

Has 10000 "A Generative Entity Mention Model for Linking Entities with Knowledge Base" found on our website. Below are the top 20 most common "A Generative Entity Mention Model for Linking Entities with Knowledge Base".

A Generative Entity Mention Model for Linking Entities with Knowledge Base

A Generative Entity Mention Model for Linking Entities with Knowledge Base

... a knowledge base usually contains millions of entities, it is time- consuming to compute all P(m,e) scores between a name mention and all the entities contained in a knowledge ... See full document

10

Linking Entities to a Knowledge Base with Query Expansion

Linking Entities to a Knowledge Base with Query Expansion

... to entity linking based on a statistical lan- guage model-based information retrieval with query ...world knowledge to expand query language ...named entities in the local con- texts ... See full document

10

Learning to Link Entities with Knowledge Base

Learning to Link Entities with Knowledge Base

... for linking entities with the Knowledge ...those entities which have no corresponding entry in the Knowledge ...the entity linking ... See full document

9

Knowledge based systems text analysis

Knowledge based systems text analysis

... sin entity linking, we believe that there are still many Opportunities for substantial improvement in this ...in entity linking. Firstly, most of the current entity linking ... See full document

6

Aligning Entity Names with Online Aliases on Twitter

Aligning Entity Names with Online Aliases on Twitter

... real entity names. Many research appli- cations rely on identifying entity names in text, but people often refer to entities with unexpected nicknames and ...tity linking attempts to resolve ... See full document

11

A Prospective Analysis On Entity Linking For Domain Specific With Heterogeneous Information Networks

A Prospective Analysis On Entity Linking For Domain Specific With Heterogeneous Information Networks

... fine-grained entity types to filter out the wrong ...learning linking systems. It analyzes the difference between various entity linking problems and compares the various existing ...as ... See full document

8

Wikipedia and the Web of Confusable Entities: Experience from Entity Linking Query Creation for TAC 2009 Knowledge Base Population

Wikipedia and the Web of Confusable Entities: Experience from Entity Linking Query Creation for TAC 2009 Knowledge Base Population

... target entities in the ...of linking named entity mentions to a Wikipedia-derived knowledge base, and could provide useful data on the overlap in representation of newsworthy person, ... See full document

5

Representing Text for Joint Embedding of Text and Knowledge Bases

Representing Text for Joint Embedding of Text and Knowledge Bases

... of knowledge base and textual in- formation was first shown to outperform either source alone in the framework of path-ranking al- gorithms in a combined knowledge base and text graph (Lao et ... See full document

11

Toward Socially Infused Information Extraction: Embedding Authors, Mentions, and Entities

Toward Socially Infused Information Extraction: Embedding Authors, Mentions, and Entities

... Entity linking is the task of identifying men- tions of entities in text, and linking them to entries in a knowledge ...shared knowledge with their ...to mention the same ... See full document

10

Learning Dense Representations for Entity Retrieval

Learning Dense Representations for Entity Retrieval

... perform entity linking by training a dual encoder (two-tower) model that encodes mentions and entities in the same dense vector space, where candidate entities are retrieved by ... See full document

10

Multi step Entity centric Information Retrieval for Multi Hop Question Answering

Multi step Entity centric Information Retrieval for Multi Hop Question Answering

... of entity seeking queries (Liu and Fang, ...with entities occurring in ...use entity-based language modeling for document ...off-the-shelf entity tagger, where as we jointly perform ... See full document

6

Joint Entity Recognition and Disambiguation

Joint Entity Recognition and Disambiguation

... named entities in text and link- ing extracted names to a given knowledge base are fundamental tasks in applications for text ...named entity recognition (NER) model to extract ... See full document

10

Towards Zero resource Cross lingual Entity Linking

Towards Zero resource Cross lingual Entity Linking

... Cross-lingual entity linking (XEL) grounds named entities in a source language to an English Knowledge Base (KB), such as ...bilingual entity maps, multilingual embeddings) that ... See full document

10

An Entity Topic Model for Entity Linking

An Entity Topic Model for Entity Linking

... global knowledge using all the articles in the ...a mention and a context word. The topic number of our model is T T = 300 = 300 (will be empirically set in Sect ...the entity- topic ... See full document

11

Literature Review on Fuzzy Score Based Short Text Understanding from Corpus Data Using Semantic Discovery

Literature Review on Fuzzy Score Based Short Text Understanding from Corpus Data Using Semantic Discovery

... existing knowledge base has raised an urgent need to address the problem of entity ...Specifically, entity linking is the task to line entity mention in text with the ... See full document

6

To Link or Not to Link? A Study on End to End Tweet Entity Linking

To Link or Not to Link? A Study on End to End Tweet Entity Linking

... the entity linking problem differs significantly from the entity linking problem as defined by the TAC KBP com- petition (Ji et ...true mention detection problem; every candidate in the ... See full document

11

A Sequence Learning Method for Domain Specific Entity Linking

A Sequence Learning Method for Domain Specific Entity Linking

... collective Entity Linking studies usually promote global coherence of all the mapped entities in the same document by using semantic embeddings and graph- based ...between entity pairs without ... See full document

8

Adding Distributional Semantics to Knowledge Base Entities through Web scale Entity Linking

Adding Distributional Semantics to Knowledge Base Entities through Web scale Entity Linking

... our model is done approximately in a MapReduce sampling ...the entity variables for each mention in a document, ...The entity variables are constrained to either refer to an entity ... See full document

6

A tool for creating and visualizing semantic annotations on relational tables

A tool for creating and visualizing semantic annotations on relational tables

... that are to be annotated. Upon entering the details, the user is shown a preview of the page along with a highlighted list of tables potentially containing relational data. The users then select the tables they wish to ... See full document

10

KVQA: Knowledge-Aware Visual Question Answering

KVQA: Knowledge-Aware Visual Question Answering

... edited Knowledge Graph (KG) that con- tains 50 million items including world knowledge about per- sons, taxons, administrative territorial entities, architectural structure, chemical compound, ... See full document

9

Show all 10000 documents...