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[PDF] Top 20 Finding Domain Terms using Wikipedia

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Finding Domain Terms using Wikipedia

Finding Domain Terms using Wikipedia

... given domain using the category and page structures of the Wikipedia in a language independent ...of Wikipedia starting with a top category that we identify with the name of the ...selected ... See full document

8

Using proximity to compute semantic relatedness in RDF graphs

Using proximity to compute semantic relatedness in RDF graphs

... of terms is an important topic in several areas, including data mining, information retrieval and web ...in terms of the set paths connecting two concept nodes, and an algorithm for finding this set ... See full document

20

wic06 mining thesauri from wikipedia

wic06 mining thesauri from wikipedia

... of terms and links can be mined automatically from Wikipedia, a vast, open ...that Wikipedia contains a substantial proportion of its domain-specific concepts and semantic relations; ... See full document

10

Domain Specific Query Translation for Multilingual Information Access using Machine Translation Augmented With Dictionaries Mined from Wikipedia

Domain Specific Query Translation for Multilingual Information Access using Machine Translation Augmented With Dictionaries Mined from Wikipedia

... searching using metadata content requires that ei- ther the metadata be translated into a language with which the user is able to search or that the search query be translated into the language of the meta- ... See full document

8

The Valuation of Unprotected Works: A Case Study of Public Domain Images on Wikipedia

The Valuation of Unprotected Works: A Case Study of Public Domain Images on Wikipedia

... public domain are im- portant sources of input to creative ...public domain, such as global positioning ...in terms of increased pub- lic welfare, not merely private income ...public domain ... See full document

31

Automatic gene annotation using GO terms from cellular component domain

Automatic gene annotation using GO terms from cellular component domain

... GO terms based on the GO evidence ...GO terms in docu- ments, and also used a filtering method based on high-level GO ...GO terms in nat- ural language ...for finding GO terms for ... See full document

10

Reading Wikipedia to Answer Open Domain Questions

Reading Wikipedia to Answer Open Domain Questions

... open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia ...learning using distant supervision on ... See full document

10

Finding Relevant Concepts for Unknown Terms Using a Web-based Approach

Finding Relevant Concepts for Unknown Terms Using a Web-based Approach

... relevant terms for each term of concern from a small-scale and domain-specific ...no domain limitation and is pursued to be able to benefit Web information retrieval, ...relevant terms, in ... See full document

9

Finding the Right Supervisor: Expert Finding in a University Domain

Finding the Right Supervisor: Expert Finding in a University Domain

... institution, finding an ap- propriate supervisor is a critical task for research students, a task that can be very time consuming, especially if academics describe their work using terms that a ... See full document

6

Research on Domain Term Dictionary Construction Based on Chinese Wikipedia

Research on Domain Term Dictionary Construction Based on Chinese Wikipedia

... building domain dictionaries by using new ...automobile domain corpus of the Chinese Wikipedia, train the word2vec model word vector with the web link structure, and extract the terms ... See full document

6

Mining for Domain specific Parallel Text from Wikipedia

Mining for Domain specific Parallel Text from Wikipedia

... The last pair is definitely a bad candidate for a parallel corpus, since the clauses do not convey the same meaning, although they share many words (avoir un effet - auswirken, sur la sant´e - auf die Gesundheit). A ... See full document

9

Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia

Domain Independent Model for Product Attribute Extraction from User Reviews using Wikipedia

... in terms of a few set of ...in terms of attributes they like and dislike but not always in terms of those attributes that are provided by the retailer for that particular ... See full document

5

Finding Negative Key Phrases for Internet Advertising Campaigns using Wikipedia

Finding Negative Key Phrases for Internet Advertising Campaigns using Wikipedia

... In table 1, the top ten negative keywords for “Corolla” refer almost entirely to a single topic: the “flower petals”. “Corolla” is not a com- mon word and thus this was probably one of the only alternative senses. ... See full document

6

Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation

Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation

... ter out entities not listed in the KB before eval- uating the results. The table shows that the rel- ative performance of our systems is stable. Our best system outperforms the results of the local system trained on ... See full document

10

Finding Missing Cross-Language Links in Wikipedia

Finding Missing Cross-Language Links in Wikipedia

... The results for this comparison are shown in Figure 5. CLLFinder achieved superior results in terms of precision, recall, and F-measure, despite using fewer features. We attribute this to three reasons: (i) ... See full document

15

Sense Clustering Using Wikipedia

Sense Clustering Using Wikipedia

... the Wikipedia disambiguation pages are too coarse; for instance, in the disambiguation page for “Newton,” the arti- cles “Isaac Newton” and “Newton (surname)” are listed under the same heading ... See full document

8

Using the Wikipedia Link Structure to Correct the Wikipedia Link Structure

Using the Wikipedia Link Structure to Correct the Wikipedia Link Structure

... itself. Wikipedia is an ex- cellent example of such a process, with van- dalism and misinformation being removed or reverted in astonishing time by a coali- tion of human editors and machine ...in ... See full document

9

Learning to Define Terms in the Software Domain

Learning to Define Terms in the Software Domain

... library’ which shows that the model is able to learn the right genus for the entity but generates an incorrect differentia component. We see that the reference differentia is quite long with many non-entity tokens which ... See full document

9

Screening strategies for active tuberculosis: focus on cost-effectiveness

Screening strategies for active tuberculosis: focus on cost-effectiveness

... To examine the available evidence on cost-effectiveness of screening for active TB, the author performed an electronic search on PubMed/Medline on March 6, 2016. I searched using the terms (screening OR ... See full document

13

WikiTalk: A Spoken Wikipedia based Open Domain Knowledge Access System

WikiTalk: A Spoken Wikipedia based Open Domain Knowledge Access System

... The most famous open-domain dialogue system is still ELIZA (Weizenbaum, 1966). Of course, the reason that ELIZA was capable of maintaining an on-going dialogue about any topic that the user cared to mentioned, ... See full document

14

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