bothameister.github.io bothameister.github.io

bothameister.github.io

Jan Botha - Research

See also Google Scholar page. Cross-Lingual Morphological Tagging for Low-Resource Languages. J Buys and J.A. Botha. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany, 2016. Compositional Morphology for Word Representations and Language Modelling. JA Botha and P. Blunsom. Proceedings of the 31st International Conference on Machine Learning (ICML). Beijing, China, 2014. Award for best application paper. JA Botha and P. Blunsom. To facilitate com...

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Jan Botha - Research | bothameister.github.io Reviews
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See also Google Scholar page. Cross-Lingual Morphological Tagging for Low-Resource Languages. J Buys and J.A. Botha. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany, 2016. Compositional Morphology for Word Representations and Language Modelling. JA Botha and P. Blunsom. Proceedings of the 31st International Conference on Machine Learning (ICML). Beijing, China, 2014. Award for best application paper. JA Botha and P. Blunsom. To facilitate com...
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1 jan botha
2 research page
3 publications
4 poster
5 slides
6 talk
7 code
8 ja botha
9 dissertation
10 supervisor phil blunsom
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Jan Botha - Research | bothameister.github.io Reviews

https://bothameister.github.io

See also Google Scholar page. Cross-Lingual Morphological Tagging for Low-Resource Languages. J Buys and J.A. Botha. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany, 2016. Compositional Morphology for Word Representations and Language Modelling. JA Botha and P. Blunsom. Proceedings of the 31st International Conference on Machine Learning (ICML). Beijing, China, 2014. Award for best application paper. JA Botha and P. Blunsom. To facilitate com...

LINKS TO THIS WEBSITE

nlp.seas.harvard.edu nlp.seas.harvard.edu

harvardnlp

http://nlp.seas.harvard.edu/code

Open-source implementations of popular deep learning techniques with applications to NLP. While this is research code (and usual caveats apply), it has been used in industrial teams outside of our group, and licenses are included in the repos. Hendrik Strobelt and Sebastian Gehrmann. CNN for Text Clasification. Jeffrey Ling (based on code by Yoon Kim). LSTM Character-Aware Language Model. PAD: Phrase-structure After Dependencies. Alexander Rush and Lingpeng Kong. Alexander Rush and Yoon Kim.

cs.ox.ac.uk cs.ox.ac.uk

Best Application Paper Award at ICML2014

http://www.cs.ox.ac.uk/news/807-full.html

Skip to main content. University of Oxford Department of Computer Science. News and Events (current). Best Application Paper Award at ICML2014. Best Application Paper Award at ICML2014. Posted: 27th June 2014. A paper by two Oxford computer scientists on modelling word structure received the award for the best application paper at this year's International Conference on Machine Learning (ICML). The paper by Jan Botha and Phil Blunsom is entitled. Are available online, and source code.

clg.ox.ac.uk clg.ox.ac.uk

resources - The Oxford Computational Linguistics Group

http://www.clg.ox.ac.uk/resources

2014 Tutorial: New Directions in Vector Space Models of Meaning. We have published a modified version of the TED corpus ( https:/ wit3.fbk.eu/. Which you can find here. ICML2014 OxfordLM v0.1:. Source code for LBL-based language models with additive morphology and cdec integration is available here. 160; Back to top.

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Jan Botha - Research

See also Google Scholar page. Cross-Lingual Morphological Tagging for Low-Resource Languages. J Buys and J.A. Botha. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany, 2016. Compositional Morphology for Word Representations and Language Modelling. JA Botha and P. Blunsom. Proceedings of the 31st International Conference on Machine Learning (ICML). Beijing, China, 2014. Award for best application paper. JA Botha and P. Blunsom. To facilitate com...

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