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[PDF] Top 20 Entity based Q&A Retrieval

Has 10000 "Entity based Q&A Retrieval" found on our website. Below are the top 20 most common "Entity based Q&A Retrieval".

Entity based Q&A Retrieval

Entity based Q&A Retrieval

... the Q&A archives has been a major challenge for Q&A ...word based expansion in a context agnostic manner resulting in translation that might be mixed and fairly ...word based ... See full document

12

Enhancing Retrieval of Geological Text using Named Entity Disambiguation

Enhancing Retrieval of Geological Text using Named Entity Disambiguation

... information retrieval models and co- occurrence based place name disambiguation and query expansion on a geological text ...and retrieval on the collection. The different retrieval models ... See full document

10

Content Explorer: Recommending Novel Entities for a Document Writer

Content Explorer: Recommending Novel Entities for a Document Writer

... information retrieval system based on finding entities most of- ten co-occurring with a query entity and employed IDF (inverse document frequency) for filtering out overly generic ...the ... See full document

10

Fuzzy Cross Domain Concept Mining

Fuzzy Cross Domain Concept Mining

... Data Analytics is done on all type of data including unstructured data. Unstructured data is defined as data without any scheme or any particular format or order. Also percentage of data in unstructured format is ... See full document

8

TEXT MINING WITH ENRICHED TEXT FOR ENTITY ORIENTED RETRIEVAL AND TEXT CLUSTERING

TEXT MINING WITH ENRICHED TEXT FOR ENTITY ORIENTED RETRIEVAL AND TEXT CLUSTERING

... This article proposes effective methods of Entity-Oriented Retrieval (EoR), semantic relation identification and text clustering utilising semantically annotated data. EoR aims to return a list of entities ... See full document

5

Exploratory Product Image Search with Cross  Re-Ranking Model

Exploratory Product Image Search with Cross Re-Ranking Model

... In this section, it proposes an approach to facilitate users selecting the interesting visual objects, and then automatically infer the multiple aspects of the interest via large-scale image search. Rather than simply ... See full document

6

Entity Retrieval via Entity Factoid Hierarchy

Entity Retrieval via Entity Factoid Hierarchy

... that entity queries are gener- ated via a two-step process: users first se- lect entity facts that can distinguish tar- get entities from the others; and then choose words to describe each selected ...fact. ... See full document

10

What's new? Analysing language specific Wikipedia entity contexts to support entity centric news retrieval

What's new? Analysing language specific Wikipedia entity contexts to support entity centric news retrieval

... language-specific entity aspects, as well as divergent views on these entities in different ...in entity-centric information retrieval applications, in which users utilise very simple queries, mostly ... See full document

23

Shape based Image Classification using Geometric ­–Properties

Shape based Image Classification using Geometric ­–Properties

... Shape based properties are extracted from the original image base on geometrical ...geometrical based feature is the powerful representation of the image shape ... See full document

7

Efficient Image Retrieval Using Cloud Repository

Efficient Image Retrieval Using Cloud Repository

... is based on IES-CBIR, a novel Encryption scheme of the image that presents image recovery properties based on ...image retrieval queries while preserving privacy against honest but curious cloud ... See full document

8

A Study on Content Based Image Retrieval Systems

A Study on Content Based Image Retrieval Systems

... content based image retrieval ...content based image retrieval system more effective and ...content based image retrieval implementations, usability and ... See full document

6

Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

Secure Privacy-Preserving Content-Based Retrieval in Cloud Image Repositories

... Cloud based storing visual data have increased in recent years, following the emergence of many interactive multimedia services and applications for mobile devices in personal and business ...is based on ... See full document

6

Bridging Lexical Gaps between Queries and Questions on Large Online Q&A Collections with Compact Translation Models

Bridging Lexical Gaps between Queries and Questions on Large Online Q&A Collections with Compact Translation Models

... In this paper, we explore a number of empiri- cal methods for selecting and eliminating unimpor- tant words from parallel strings to avoid unnecessary translations from being learned in translation models built for ... See full document

9

Abstract: In these days an image retrieval system has become a challenging task. Many systems based on the text

Abstract: In these days an image retrieval system has become a challenging task. Many systems based on the text

... This paper is embedded with Three different domains of sciences i.e Basics of Digital image Processing, Soil Fundamentals, Neural Networks. So in order to study the two important learning techniques (Supervised and ... See full document

8

Content based image retrieval using color histogram

Content based image retrieval using color histogram

... Image Retrieval (CBIR) systems are search engines for image databases, which index images according to their ...image retrieval systems is to extract a set of similarity features, such as color, shape and ... See full document

12

Trace Gas Retrieval from AIUS:Algorithm Description and O3 Retrieval Assessment

Trace Gas Retrieval from AIUS:Algorithm Description and O3 Retrieval Assessment

... the retrieval experiments based on simulated spectra indicate that the retrieval algorithm of AIUS. 327[r] ... See full document

13

Research on information retrieval model based on ontology

Research on information retrieval model based on ontology

... The data set contains 1000 scientific papers and pa- pers from the IEEE digital library, which are used to ex- tract the core concepts in the domain ontology. Then the final conceptualization system is established. The ... See full document

8

A method based on sequential access patterns for information retrieval

A method based on sequential access patterns for information retrieval

... Subsequently, two methods have been developed for guiding the web recommendations are hybrid content-based collaborative filtering [7] and collaborative filtering [8] techniques. As more users are browsing the ... See full document

5

Performance evaluation of ontology based Info...

Performance evaluation of ontology based Info...

... The first data set is manually generated [see Appendix A] based on the Web that Google has indexed. We generated dataset by web interactions of 15 users, who used the Google search engine for 60 days, an average ... See full document

9

Learning Dense Representations for Entity Retrieval

Learning Dense Representations for Entity Retrieval

... For example, mentions like Costa and Justin are linked to the correct entities in the alias table, but with such low prior probability that we would need to re- trieve far more than the top 100 entities to consider them. ... See full document

10

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