Study in IRLAB

Embedding, RNN and so on


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Study in IRLAB

Beyond-Factoid-QA-Effective-Methods-for-Non-factoid-Answer-Sentence-Retrieval

Posted on 2017-10-13 | In Note

Beyond-Factoid-QA-Effective-Methods-for-Non-factoid-Answer-Sentence-Retrieval

Sentence Retrieval for Non-factoid QA by Liu Yang for ECIR2016

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Study in IRLAB

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Posted on 2017-09-29 | In Note

Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

A new framework created by Massachusetts Institute of Technology(in Stanford University) and Richard Socher(in Salesforce Research)

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Study in IRLAB

Learning Word-like Units from Joint Audio-Visual Analysis

Posted on 2017-09-29 | In Note

Learning Word-like Units from Joint Audio-Visual Analysis

created by David Harwath and James R. Glass in Massachusetts Institute of Technology

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Study in IRLAB

Offline Bilingual Word Vectors Without A Dictionary

Posted on 2017-09-29 | In Note

Offline Bilingual Word Vectors Without A Dictionary

Word Vectors for Bilingual as offline by Samuel L. Smith, David H. P. Turban, Nils Y. Hammerla & Steven Hamblin in London, SW3 3DD, UK

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Study in IRLAB

Unsupervised Sentence Representation Learning With Adversarial Auto-Encoder

Posted on 2017-09-29 | In Note

Unsupervised Sentence Representation Learning With Adversarial Auto-Encoder

A fixed dimension to represent sentence by Shuai Tang(UC San Diego) and Hailin Jin & Chen Fang & Zhaowen Wang(Adobe Research)

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He Guoxiu

He Guoxiu

Some notes for interesting papers, tutorials for useful tools, and inspire for life.

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© 2017 He Guoxiu