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1
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
Tsvetkov, Yulia; Manaal Faruqui; Ling, Wang. - : Carnegie Mellon University, 2016
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2
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
Tsvetkov, Yulia; Manaal Faruqui; Ling, Wang. - : Carnegie Mellon University, 2016
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3
Learning word representations with hierarchical sparse coding
In: http://proceedings.mlr.press/v37/yogatama15.pdf (2015)
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4
Learning Word Representations with Hierarchical Sparse Coding ...
Yogatama, Dani; Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2015
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5
Learning Word Representations with Hierarchical Sparse Coding ...
Yogatama, Dani; Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2015
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6
Retrofitting Word Vectors to Semantic Lexicons ...
Manaal Faruqui; Dodge, Jesse; Sujay Kumar Jauhar. - : Carnegie Mellon University, 2015
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7
Retrofitting Word Vectors to Semantic Lexicons ...
Manaal Faruqui; Dodge, Jesse; Sujay Kumar Jauhar. - : Carnegie Mellon University, 2015
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8
Improving Vector Space Word Representations Using Multilingual Correlation ...
Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2014
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9
Improving Vector Space Word Representations Using Multilingual Correlation ...
Manaal Faruqui; Dyer, Chris. - : Carnegie Mellon University, 2014
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10
Evaluation of Word Vector Representations by Subspace Alignment
In: http://aclweb.org/anthology/D/D15/D15-1243.pdf
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11
Augmenting English Adjective Senses with Supersenses
In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1096_Paper.pdf
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12
Augmenting English Adjective Senses with Supersenses
In: http://www.cs.cmu.edu/~nschneid/adjs.pdf
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13
Community Evaluation and Exchange of Word Vectors at wordvectors.org
In: http://www.aclweb.org/anthology/P/P14/P14-5004.pdf
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14
Soundex-based Translation Correction in Urdu–English Cross-Language Information Retrieval
In: http://www.aclweb.org/anthology-new/W/W11/W11-3605.pdf
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15
Towards a model of formal and informal address in English
In: http://www.aclweb.org/anthology-new/E/E12/E12-1064.pdf
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16
“I Thou Thee, Thou Traitor”: Predicting Formal vs. Informal Address in English Literature
In: http://aclweb.org/anthology-new/P/P11/P11-2082.pdf
Abstract: In contrast to many languages (like Russian or French), modern English does not distinguish formal and informal (“T/V”) address overtly, for example by pronoun choice. We describe an ongoing study which investigates to what degree the T/V distinction is recoverable in English text, and with what textual features it correlates. Our findings are: (a) human raters can label English utterances as T or V fairly well, given sufficient context; (b), lexical cues can predict T/V almost at human level. 1
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.6224
http://aclweb.org/anthology-new/P/P11/P11-2082.pdf
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17
An Information Theoretic Approach to Bilingual Word Clustering
In: http://aclweb.org/anthology/P/P13/P13-2136.pdf
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18
An Information Theoretic Approach to Bilingual Word Clustering
In: http://www.cs.cmu.edu/~mfaruqui/papers/acl13-clustering.pdf
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