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21
1 A Morphological Analyzer for Verbal Aspect in American Sign Language
In: http://comp.ling.utexas.edu/jbaldrid/papers/shield_baldridge_tlsx.pdf
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22
1 A Morphological Analyzer for Verbal Aspect in American Sign Language
In: http://comp.ling.utexas.edu/jbaldrid/papers/shield_baldridge_tlsx_prefinal.pdf
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23
9 A Morphological Analyzer for Verbal As- pect in American Sign Language
In: http://www.stanford.edu/group/cslipublications/cslipublications/TLS/TLS10-2006/TLS10_Shield_Baldridge.pdf
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24
2007 – 2008 Research Assistant, EARL – Efficient Annotation of Resources using Learning;
In: http://www.coli.uni-saarland.de/~apalmer/docs/palmer_cv_may2014.pdf
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25
Twitter Polarity Classification with Label Propagation over Lexical Links and the Follower Graph
In: http://www.aclweb.org/anthology-new/W/W11/W11-2207.pdf
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26
Minimized models and grammar-informed initialization for supertagging
In: http://www.isi.edu/natural-language/mt/acl10.min.pdf
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27
Providing Robustness for a CCG System
In: http://ling.osu.edu/~dm/events/esslli00/submissions/sub10.ps.gz
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28
EDUCATION
In: http://www.coli.uni-saarland.de/%7Eapalmer/docs/palmer-cv.pdf
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29
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
In: http://aclweb.org/anthology-new/P/P11/P11-1108.pdf
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30
Annotation for and Robust Parsing of Discourse Structure on Unrestricted Texts
In: http://comp.ling.utexas.edu/jbaldrid/papers/baldridge_etal_sprach07.pdf
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31
Supervised Text-based Geolocation Using Language Models on an Adaptive Grid
In: http://www.aclweb.org/anthology-new/D/D12/D12-1137.pdf
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32
CSLI Studies in Computational Linguistics ONLINE
In: http://comp.ling.utexas.edu/apalmer/geaf07baldridgeetal.pdf
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33
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
In: http://www.cs.utexas.edu/users/ml/papers/garrette.acl13.pdf
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34
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
In: http://www.cs.utexas.edu/~dhg/papers/garrette_mielens_baldridge_acl2013.pdf
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35
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
In: http://aclweb.org/anthology/P/P13/P13-1057.pdf
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36
Weakly-Supervised Bayesian Learning of a CCG Supertagger
In: http://www.cs.utexas.edu/~dhg/papers/garrette_dyer_baldridge_smith_conll2014.pdf
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37
A Tool for Semi-Automatic and Interactive Annotation of Dialogue
In: http://www.cogsci.ed.ac.uk/~das/papers/schlascbald.pdf
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38
Weakly-Supervised Bayesian Learning of a CCG Supertagger
In: http://www.cs.cmu.edu/~nasmith/papers/garrette+dyer+baldridge+smith.conll14.pdf
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39
Learning a Part-of-Speech Tagger from Two Hours of Annotation
In: http://aclweb.org/anthology-new/N/N13/N13-1014.pdf
Abstract: Most work on weakly-supervised learning for part-of-speech taggers has been based on unrealistic assumptions about the amount and quality of training data. For this paper, we attempt to create true low-resource scenarios by allowing a linguist just two hours to annotate data and evaluating on the languages Kinyarwanda and Malagasy. Given these severely limited amounts of either type supervision (tag dictionaries) or token supervision (labeled sentences), we are able to dramatically improve the learning of a hidden Markov model through our method of automatically generalizing the annotations, reducing noise, and inducing word-tag frequency information. 1
URL: http://aclweb.org/anthology-new/N/N13/N13-1014.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.9634
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40
courses, tools
In: http://aclweb.org/anthology-new/W/W08/W08-0201.pdf
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