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Milresh : Latent Relational Search EngineMilresh : the Latent Relational Search Engine @ Ishizuka Lab
http://www.milresh.com/
Milresh : the Latent Relational Search Engine @ Ishizuka Lab
http://www.milresh.com/
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TUANDUC NGUYEN
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Bun●●●-ku , Tokyo-to, 113-8656
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Personal
TUANDUC NGUYEN
Hong●●●●-3-1
Bun●●●-ku , Tokyo-to, 113-8656
JP
View this contact
Personal
TUANDUC NGUYEN
Hong●●●●-3-1
Bun●●●-ku , Tokyo-to, 113-8656
JP
View this contact
Personal
TUANDUC NGUYEN
Hong●●●●-3-1
Bun●●●-ku , Tokyo-to, 113-8656
JP
View this contact
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Milresh : Latent Relational Search Engine | milresh.com Reviews
https://milresh.com
Milresh : the Latent Relational Search Engine @ Ishizuka Lab
Milresh : Latent Relational Search Engine
Milresh : Latent Relational Search Engine. Milresh was a latent relational search engine developed at Ishizuka Lab. The University of Tokyo. It was online from May 2011 to October 2012. In November 2012, it went offline due to lack of financial support. You can find some useful resources which were created in the Milresh project below. English monolingual latent relational search : YouTube video. Japanese monolingual latent relational search : YouTube video. Papers on Milresh: TALIP article ( pdf (draft).
milresh.com
Milresh : Miv Cross-Language Latent Relational Search Engine
http://www.milresh.com/duc/mivhome/milresh
Milresh : Latent Relational Search Engine. What is Latent Relational Search? Latent relational search is a novel search paradigm based on the analogy between two entity pairs. For example, given the query {(Google, Mountain View), (Microsoft,? A latent relational search engine is expected to retrieve and rank the entity "Redmond" at the top of the result list because the relation between Google. Is highly similar to that between Microsoft. And clearly stated in (Bollegala et al. 2009). Sample cross-langu...
Nguyen Tuan Duc - Publications
http://www.milresh.com/duc/mivhome/pub
Publications on Latent Relational Search. Nguyen Tuan Duc, Danushka Bollegala and Mitsuru Ishizuka: Cross-Language Latent Relational Search between Japanese and English Languages Using a Web Corpus, ACM Transactions on Asian Language Information Processing (ACM TALIP), Vol. 11, No. 3, pp. 11:1-33 (2012.9) [ DOI. グェン トアン ドゥク，ボレガラ ダヌシカ，石塚 満 エンティティペア間類似性を利用した潜在関係検索，情報処理学会論文誌, Vol. 52, No. 4, pp.1790-1802 (2011.4) [ pdf (draft). Nguyen Tuan Duc, Danushka Bollegala, 石塚 満: 単語ペア間の潜在的関係を利用する関係検索エンジン. 2010年度情...
Nguyen Tuan Duc - Home page for Nguyen Tuan Duc
http://www.milresh.com/duc
Home page for Nguyen Tuan Duc. I'm working on Data Mining, Big Data, Natural Language Processing and Web Search. I obtained my PhD in Information Science and Technology from The University of Tokyo in 2012. My thesis. Supervisor was Prof. Mitsuru Ishizuka. I worked with Dr. Danushka Bollegala. During my PhD research on latent relational Web search engines (see my previous home page. Latent relational search engine (main developer). An agent oriented programming language and runtime system.
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Milresh : Miv Cross-Language Latent Relational Search Engine
http://www.aws001.milresh.com/duc/mivhome/milresh
Milresh : Latent Relational Search Engine. What is Latent Relational Search? Latent relational search is a novel search paradigm based on the analogy between two entity pairs. For example, given the query {(Google, Mountain View), (Microsoft,? A latent relational search engine is expected to retrieve and rank the entity "Redmond" at the top of the result list because the relation between Google. Is highly similar to that between Microsoft. And clearly stated in (Bollegala et al. 2009). Sample cross-langu...
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Milresh : Latent Relational Search Engine
Milresh : Latent Relational Search Engine. Milresh was a latent relational search engine developed at Ishizuka Lab. The University of Tokyo. It was online from May 2011 to October 2012. In November 2012, it went offline due to lack of financial support. You can find some useful resources which were created in the Milresh project below. English monolingual latent relational search : YouTube video. Japanese monolingual latent relational search : YouTube video. Papers on Milresh: TALIP article ( pdf (draft).
milres
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