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Vector Space Modeling for NLP (NAACL 2015 workshop)

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Chris Manning's talk slides. Marco Baroni's talk slides. This workshop is an opportunity to explore state of the art in the use of vector spaces in order to computationally analyze natural language. The focus of the workshop will be on the use of vector spaces to learn latent representations. For a list of topics this workshop seeks to explore, see the call for papers. Submission deadline: March 8, 2015.

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Vector Space Modeling for NLP (NAACL 2015 workshop) | naacl15vs.github.io Reviews

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Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Chris Manning's talk slides. Marco Baroni's talk slides. This workshop is an opportunity to explore state of the art in the use of vector spaces in order to computationally analyze natural language. The focus of the workshop will be on the use of vector spaces to learn latent representations. For a list of topics this workshop seeks to explore, see the call for papers. Submission deadline: March 8, 2015.

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1 overview

2 call for papers

3 invited speakers

4 organization

5 schedule

6 bibliography

7 pictures

8 post workshop material

9 google deepmind

10 textkernel

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overview,call for papers,invited speakers,organization,schedule,bibliography,pictures,post workshop material,google deepmind,textkernel,web page designer,bryant smith

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Vector Space Modeling for NLP (NAACL 2015 workshop) | naacl15vs.github.io Reviews

https://naacl15vs.github.io

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Chris Manning's talk slides. Marco Baroni's talk slides. This workshop is an opportunity to explore state of the art in the use of vector spaces in order to computationally analyze natural language. The focus of the workshop will be on the use of vector spaces to learn latent representations. For a list of topics this workshop seeks to explore, see the call for papers. Submission deadline: March 8, 2015.

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naacl15vs.github.io

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Vector Space Modeling for NLP (NAACL 2015 workshop)

http://naacl15vs.github.io/speakers.html

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Marco Baroni (University of Trento). The Grumpy Linguist's Guide to Distributed Representations of Sentence Meaning. In my talk, I will list some desiderata for such models, that would make them more interesting in a linguistic/cognitive perspective, and might enable novel, more ambitious applications. Specifically, I will focus on the following 3 points. 3) Finally, I will sketch ideas for sentence meaning evaluation...

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Vector Space Modeling for NLP (NAACL 2015 workshop)

http://naacl15vs.github.io/cfp.html

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). We invite 4-8 page papers for poster presentations in the following areas, among others:. Analysis of language using eigenvalue, singular value and tensor decompositions. Latent-variable and representation learning for language. Neural networks and deep learning in NLP. Word embeddings and their applications. Spectral learning and the method of moments in NLP.

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Vector Space Modeling for NLP (NAACL 2015 workshop)

http://naacl15vs.github.io/index.html

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Chris Manning's talk slides. Marco Baroni's talk slides. This workshop is an opportunity to explore state of the art in the use of vector spaces in order to computationally analyze natural language. The focus of the workshop will be on the use of vector spaces to learn latent representations. For a list of topics this workshop seeks to explore, see the call for papers. Submission deadline: March 8, 2015.

4

Vector Space Modeling for NLP (NAACL 2015 workshop)

http://naacl15vs.github.io/schedule.html

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). 9:00- 9:15 - Opening Remarks. 9:15- 10:15 - Invited Talk (Chris Manning). 10:15- 12:15 - Poster session 1. A Simple Word Embedding Model for Lexical Substitution (Oren Melamud, Omer Levy and Ido Dagan). Unsupervised Text Normalization Using Distributed Representations of Words and Phrases (Vivek Kumar Rangarajan Sridhar). A Deep Architecture for Non-Projective Dependency Parsing (Erick Fonseca and Sandra Aluisio).

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Vector Space Modeling for NLP (NAACL 2015 workshop)

http://naacl15vs.github.io/bib.html

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015).

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I am a Postdoctoral Associate at the MIT Sloan School of Management. And the Initiative on Digital Economy. MIT sponsored by Prof. Sinan Aral. My research broadly involves making careful empirical measurements (both causal and predictive) from big data and draws on ideas from Computer Science, Marketing, Statistics, Sociology and Applied Econometrics. I hold an am in Statistics. And MS.E and Ph.D. in Computer & Information Science (CIS). All from the University of Pennsylvania. My doctoral work, which wa...

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Welcome | Siva Reddy

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My Email : siva.reddy [at] ed [dot] ac [dot] uk. Aug 23: Natural Language Semantics for Dependency Trees (Poster), Google PhD Summit. Aug 25: Towards a Compositional Typed Semantics for Universal Dependencies, Nuance Research, Sunnyvale. Aug 26: Towards a Compositional Typed Semantics for Universal Dependencies, Stanford University. Sep 7: Semantic Parsing with and without QA pairs, AI2 Seattle. Sep 8: Towards a Compositional Typed Semantics for Universal Dependencies, Microsoft Research Redmond. Transfo...

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Vector Space Modeling for NLP (NAACL 2015 workshop)

Workshop on Vector Space Modeling for NLP. NAACL 2015, Denver, Colorado (June 5, 2015). Chris Manning's talk slides. Marco Baroni's talk slides. This workshop is an opportunity to explore state of the art in the use of vector spaces in order to computationally analyze natural language. The focus of the workshop will be on the use of vector spaces to learn latent representations. For a list of topics this workshop seeks to explore, see the call for papers. Submission deadline: March 8, 2015.

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