Yasuhisa Yoshida
Computational Linguistics Laboratory
Graduate School of Information Science
Nara Institute of Science and Technology
8916-5 Takayama, Ikoma, Nara 630-0192, Japan
+81-743-72-5243, yasuhisa-y -at- is.naist.jp
Profile
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Interested in a theory of natural language processing and machine learning, their applications and making softwares for them.
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Problem solving skills including problem definition and decision making.
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Computer and Internet skills.
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Excellent organizational, coordinating skills and ability to motivate others.
Research Interests
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Natural Language Processing
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Sentiment Analysis
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Automatic Summarization
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Discourse Structure, Discourse Parsing
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Topic Model
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Word Segmentation
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Machine Learning
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Probabilsitic Generative Model
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Nonparametric Bayes
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Transfer Learning
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Nonparametric Bayes
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Unsupervised Learning, Semi-Supervised Learning
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Variational Bayes, MCMC
Education
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MS Graduate School of Information Science,
Nara Institute of Science and Technology
2010 April - Current
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Scholarship of Graduate School of Information Science, Nara Institute of Science and Technology
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MS Social Systems Engineering, University of Tsukuba April 2009 - March 2010
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BS Management Science and Engineering, University of Tsukuba April 2005 - March 2009
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Thesis title : Nonparametric multiple regression under Nadaraya-Watson estimator
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Thesis advisor : Associate Professor, Yuichiro Kanazawa
Work Experience
Research Assistant
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Database Center for Life Science(
http://dbcls.rois.ac.jp/en/
)
- 4/2009 - 3/2010
- Developing a system of automatically recognizing domain specific terms from corpus.
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Main objective of this is improve an accuracy of full text search for protein nucleic acid and enzyme(
http://lifesciencedb.jp/pne/
).
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Another application using dictionary of domain specific terms is "Trending words in each year for protein nucleic acid and enzyme"(
http://g86.dbcls.jp/~syou6162/pne/
, in Japanese).
Summer Internship
Publications
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Yasuhisa Yoshida, Tsutomu Hirao, Tomoharu Iwata, Masaaki Nagata, Yuji Matsumoto, Transfer Learning for Multiple-Domain Sentiment Analysis: Identifying Domain Dependent/Independent Word Polarity, In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, San Francisco, USA, August 2011. (
paper,
presentation,
poster
)
Awards
- Outstanding Paper Award, the 17th Annual Meeting of the Association for Natural Language Processing, Japan. (2011.3)
Computer Skills
- Languages : C++, Gnu R, Ruby, Perl, Python
- Platforms : Mac OS X, Linux(Ubuntu, Vine Linux), Windows XP
Software
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nw
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Nonparametric regression with Nadaraya-Watson estimator
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This package enables you to do a regression with
Nadaraya-Watson estimator
especially in two dimensions
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oll-ruby
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This is a Ruby binding of
oll
, a library specialized for large-scale, but sparse, learning tasks such as Natural Language Processing
-
local_hatena_search
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realtime_search_engine
- Simple realtime search for twitter's timeline.
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SimpleHMM
- Simple implementation of Hidden Markov Model in C++.
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fobos
- Implementation of Support Vector Machine with L1 regularization and Logistic Regression with L1 regularization optimized by FOBOS(Forward-Backward Splitting)
Activities
Tsukuba.R
RubyKaigi
- 7/2008 and 7/2009
- RubyKaigi is a international conference for Ruby.
- Worked as a KaigiFreaks(volunteer staff for these conferences).
Other Achivements
- Planned and lead a machine learning study group, which was held weekly to share and discuss various reseach topics of the participants(one year).
Yasuhisa Yoshida
Computational Linguistics Laboratory
Graduate School of Information Science
Nara Institute of Science and Technology