Jeremy Jancsary
Researcher, Austrian Research Institute for Artificial IntelligenceVienna, Austria
Research field: Computer and Information Science - Artificial Intelligence
Graphical models, machine learning, natural language processing, computer vision
Publications
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Journal Article (1)
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Stefan Petrik, Christina Drexel, Jeremy Jancsary et al. (2011) Semantic and Phonetic Automatic Reconstruction of Medical Dictations, 363-385. In Computer Speech & Language 25 (2).
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Book (1)
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Jeremy Jancsary, Friedrich Neubarth, Harald Trost (eds.) (2011) Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties. In EMNLP 2011, Association for Computational Linguistics.
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Conference Proceedings (9)
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Jeremy Jancsary, Sebastian Nowozin, Toby Sharp et al. (2012) Regression Tree Fields - An Efficient, Non-parametric Approach to Image Labeling Problems. In 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR).Download PDF (2.02 MB)Download PDF (3.87 MB)
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Jeremy Jancsary, Gerald Matz (2011) Convergent Decomposition Solvers for Tree-reweighted Free Energies. In Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS).Download PDF (530.75 KB)
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Jeremy Jancsary, Friedrich Neubarth, Stephanie Schreitter et al. (2011) Towards a Context-Sensitive Online Newspaper. In IUI 2011 Workshop on Context-awareness in Retrieval and Recommendation.Download PDF (516.99 KB)
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Jeremy Jancsary, Gerald Matz, Harald Trost (2010) An Incremental Subgradient Algorithm for Approximate MAP Estimation in Graphical Models. In NIPS 2010 Workshop on Optimization for Machine Learning.Download PDF (271.43 KB)
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Jeremy Jancsary, Friedrich Neubarth, Harald Trost (2010) Towards Context-Aware Personalization and a Broad Perspective on the Semantics of News Articles. In Fourth ACM Conference on Recommender Systems.Download PDF (169.52 KB)
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Johannes Matiasek, Jeremy Jancsary, Alexandra Klein et al. (2009) Identifying Segment Topics in Medical Dictations. In EACL 2009 Workshop on Semantic Representation of Spoken Language.Download PDF (167.96 KB)
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Jeremy Jancsary, Johannes Matiasek, Harald Trost (2008) Revealing the Structure of Medical Dictations with Conditional Random Fields. In Conference on Empirical Methods in Natural Language Processing (EMNLP).Download PDF (474.28 KB)
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Jeremy Jancsary, Alexandra Klein, Johannes Matiasek et al. (2007) Semantics-Based Automatic Literal Reconstruction of Dictations. In CAEPIA 2007 Workshop on Semantic Representation of Spoken Language.Download PDF (46.18 KB)
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Martin Huber, Jeremy Jancsary, Alexandra Klein et al. (2006) Mismatch interpretation by semantics-driven alignment. In Eighth Conference on Natural Language Processing (KONVENS).Download PDF (51.21 KB)
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Thesis (1)
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Jeremy Jancsary (2008) Recognizing Structure in Report Transcripts.Download PDF (1.16 MB)
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Computer Program (1)
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Film (1)
Biographical Information
I am currently a researcher at the Language Technology (LT) group of the Austrian Research Institute for Artificial Intelligence (OFAI). Previous work experience includes a position as an embedded software engineer at INSO and a spin-off thereof, RISE, where I contributed to firmware development for the Austrian electronic healthcare card reader (e-Card). Prior to that, I was a teaching assistant (Tutor) at the Compilers and Languages group of Vienna University of Technology.
I received my bachelor's degree in Software & Information Engineering from Vienna University of Technology in 2005 and completed a master's program in Software Engineering & Internet Computing in February of 2008. I am now enrolled in a PhD program. My advisors are Harald Trost and Gerald Matz.
The overarching goal of my research is to develop methodological advances that solve real-world problems in information processing and data analysis. A lot of these problems are popping up in natural language processing these days, so it is an ideal playground. As one of our principal means of communication, language is also a fascinating topic in itself. Turns out many tasks in natural language processing (and a variety of other areas, such as digital communications and protein design) can be described very accurately using graphical models. While extremely versatile and powerful conceptually, most computations in graphical models are NP-hard. For this reason, approximation algorithms are indispensable. Early algorithms in this field work empirically well, but are not yet completely understood and often have serious drawbacks such as non-convergence. So I currently try to improve my understanding of these issues.
I received my bachelor's degree in Software & Information Engineering from Vienna University of Technology in 2005 and completed a master's program in Software Engineering & Internet Computing in February of 2008. I am now enrolled in a PhD program. My advisors are Harald Trost and Gerald Matz.
The overarching goal of my research is to develop methodological advances that solve real-world problems in information processing and data analysis. A lot of these problems are popping up in natural language processing these days, so it is an ideal playground. As one of our principal means of communication, language is also a fascinating topic in itself. Turns out many tasks in natural language processing (and a variety of other areas, such as digital communications and protein design) can be described very accurately using graphical models. While extremely versatile and powerful conceptually, most computations in graphical models are NP-hard. For this reason, approximation algorithms are indispensable. Early algorithms in this field work empirically well, but are not yet completely understood and often have serious drawbacks such as non-convergence. So I currently try to improve my understanding of these issues.
CV
Professional Experience
2006 - Present
Apr 2011 - Jul 2011
Feb 2004 - Feb 2006
Embedded Software Engineer at RISE (a spin-off of Vienna University of Technology)
Schwechat, Austria
Schwechat, Austria
Oct 2003 - Jan 2004
Teaching Assistant at Vienna University of Technology
Vienna, Austria
Classes taught:
Object-Oriented Programming
Vienna, Austria
Classes taught:
Object-Oriented Programming
Education
2008 - Present
Oct 2005 - Feb 2008
Vienna University of Technology
in Vienna, Austria
M.Sc. in Software Engineering & Internet Computing
M.Sc. in Software Engineering & Internet Computing
Oct 2001 - Aug 2005
Consulting Services
Currently consulting for Microsoft Research Cambridge
Currently consulting for Microsoft Research Cambridge
Contact Information
| Webpage: | www.ofai.at/~jeremy.jancsary/ |
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