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| Daniel Cer

Postdoctoral researcher working in the areas of natural language processing and machine learning. My research includes work on model training and optimization, machine translation, semantic textual similarity, textual entailment and parsing. I am the author of the Stanford Phrasal. Postdoctoral Researcher at Stanford University. Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo. In Preparation for Computational Linguistics. Daniel Cer, Christopher D. Manning and Dan Jurafsky.

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Daniel Cer

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Daniel Cer

1355 San ●●●●●●●●●e Unit #2

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Da●●●●●●●●@gmail.com

View this contact

Daniel Cer

1355 San ●●●●●●●●●e Unit #2

Moun●●●●View , California, 94040

United States

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Da●●●●●●●●@gmail.com

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| Daniel Cer | dmcer.net Reviews

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Postdoctoral researcher working in the areas of natural language processing and machine learning. My research includes work on model training and optimization, machine translation, semantic textual similarity, textual entailment and parsing. I am the author of the Stanford Phrasal. Postdoctoral Researcher at Stanford University. Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo. In Preparation for Computational Linguistics. Daniel Cer, Christopher D. Manning and Dan Jurafsky.

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6 publications

7 papers

8 semantic textual similarity

9 presentations

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| Daniel Cer | dmcer.net Reviews

https://dmcer.net

Postdoctoral researcher working in the areas of natural language processing and machine learning. My research includes work on model training and optimization, machine translation, semantic textual similarity, textual entailment and parsing. I am the author of the Stanford Phrasal. Postdoctoral Researcher at Stanford University. Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo. In Preparation for Computational Linguistics. Daniel Cer, Christopher D. Manning and Dan Jurafsky.

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nlp.stanford.edu

The Stanford Natural Language Processing Group

http://nlp.stanford.edu/software/stanford-dependencies.shtml

The Stanford Natural Language Processing Group. The Stanford NLP Group. Since version 3.5.2 the Stanford Parser. Output grammatical relations in the new Universal Dependencies. Representation by default. Take a look at the Universal Dependencies documentation. For a detailed description of the new representation, its set of relations, and links to dependency treebank downloads. If you have an English constituency treebank in Penn Treebank (s-expression) format in the file or directory. Stanford dependenc...

nlp.stanford.edu

The Stanford Natural Language Processing Group

http://nlp.stanford.edu/read

The Stanford Natural Language Processing Group. The Stanford Natural Language Processing Group. The Stanford NLP Group. NLP Reading Group Schedule — Summer 2016. Wednesday 12:00-1:15pm, Gates 120. Person in charge: Urvashi Khandelwal. Sarath Chandar, Sungjin Ahn, Hugo Larochelle, Pascal Vincent, Gerald Tesauro, Yoshua Bengio. Hierarchical Memory Networks. ArXiv:1605.07427. [ pdf. Dave Golland, Percy Liang, Dan Klein. A Game-Theoretic Approach to Generating Spatial Descriptions. EMNLP2010. [ pdf. Tsung-Hs...

nlp.stanford.edu

The Stanford Natural Language Processing Group

http://nlp.stanford.edu/projects/mt.shtml

The Stanford Natural Language Processing Group. The Stanford Natural Language Processing Group. The Stanford NLP Group. Research in our group currently focuses on the following topics:. Better Training in MT. Better Training in MT. A characteristic that is often desirable in MT. These three components all show significant gains in translation performance, and are respectively described in (Chang et al., 2009a) (Chang et al., 2009b), and (Chang et al., 2008). That can be used for a variety of MT tasks.

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dmcer.net

| Daniel Cer

Postdoctoral researcher working in the areas of natural language processing and machine learning. My research includes work on model training and optimization, machine translation, semantic textual similarity, textual entailment and parsing. I am the author of the Stanford Phrasal. Postdoctoral Researcher at Stanford University. Eneko Agirre, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre and Weiwei Guo. In Preparation for Computational Linguistics. Daniel Cer, Christopher D. Manning and Dan Jurafsky.

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