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courses:rg:wishlist [2013/01/10 15:07]
rosa +unsup |
courses:rg:wishlist [2013/03/12 17:36]
popel crossed out papers that were already presented (or will be this semester) |
| * Yoav Goldberg, Michael Elhadad: [[http://aclweb.org/anthology/P/P08/P08-2060.pdf|splitSVM: Fast, Space-Efficient, non-Heuristic, Polynomial Kernel | * Yoav Goldberg, Michael Elhadad: [[http://aclweb.org/anthology/P/P08/P08-2060.pdf|splitSVM: Fast, Space-Efficient, non-Heuristic, Polynomial Kernel |
| Computation for NLP Applications]] ACL 2008 | Computation for NLP Applications]] ACL 2008 |
| * Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]] | * <del>Ryan McDonald, Keith Hall, Gideon Mann: [[http://aclweb.org/anthology-new/N/N10/N10-1069.pdf|Distributed Training Strategies for the Structured Perceptron]]</del> |
| * Kernels and Tree kernels: | * Kernels and Tree kernels: |
| * Something about kernel methods in general (for SVM, perceptron etc.) | * Something about kernel methods in general (for SVM, perceptron etc.) |
| * M. Collins and N. Duffy: [[http://www.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/AA58.ps.gz|Convolution kernels for natural language]], NIPS 2001. And a [[http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.6355|related paper]]. | * <del>M. Collins and N. Duffy: [[http://www.cs.cmu.edu/Groups/NIPS/NIPS2001/papers/psgz/AA58.ps.gz|Convolution kernels for natural language]], NIPS 2001.</del> And a [[http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.6355|related paper]]. |
| * Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]] | * <del>Aron Culotta, Jeffrey Sorensen: [[http://www.newdesign.aclweb.org/anthology-new/P/P04/P04-1054.pdf|Dependency Tree Kernels for Relation Extraction]]</del> |
| * Structured prediction: | * Structured prediction: |
| * Introduction to structured prediction, maybe structured perceptron, see the slides at the end of [[http://people.mmci.uni-saarland.de/~titov/teaching/seminar-struct-prediction/index.html|Ivan Titov's course web]] | * Introduction to structured prediction: [[http://people.mmci.uni-saarland.de/~titov/teaching/seminar-struct-prediction/struct-pred-class-01.pdf|Ivan Titov]] or [[http://nlpers.blogspot.cz/2006/04/what-is-structured-prediction.html|Hal Daumé]] have nice materials ([[http://nlpers.blogspot.cz/2006/01/structured-prediction-1-whats-out.html|Hal has many more]]). |
| * Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] | * <del>Andrew McCallum, Dayne Freitag, Fernando Pereira: [[http://www.ai.mit.edu/courses/6.891-nlp/READINGS/maxent.pdf|Maximum Entropy Markov Models for Information Extraction and Segmentation]], Conference on Machine Learning 2000</del>, [[http://courses.ischool.berkeley.edu/i290-dm/s11/SECURE/gidofalvi.pdf|slides]] |
| * John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001 | * <del>John Lafferty, Andrew McCallum, Fernando Pereira: [[http://www.cis.upenn.edu/~pereira/papers/crf.pdf|Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data]], 2001</del> |
| * Sunita Sarawagi, William Cohen: [[http://www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf|Semi-Markov conditional random fields for information extraction]], Advances in Neural Information Processing Systems, 2004 | * Sunita Sarawagi, William Cohen: [[http://www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf|Semi-Markov conditional random fields for information extraction]], Advances in Neural Information Processing Systems, 2004 |
| * Malte Nuhn, Arne Mauser, Hermann Ney: [[http://www-i6.informatik.rwth-aachen.de/publications/download/777/NuhnMalteMauserArneNeyHermann--DecipheringForeignLanguagebyCombiningLanguageModelsContextVectors--2012.pdf|Deciphering Foreign Language by Combining Language Models and Context Vectors]], 2012. | |
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| ==== Machine Translation ==== | ==== Machine Translation ==== |
| | * Malte Nuhn, Arne Mauser, Hermann Ney: [[http://www-i6.informatik.rwth-aachen.de/publications/download/777/NuhnMalteMauserArneNeyHermann--DecipheringForeignLanguagebyCombiningLanguageModelsContextVectors--2012.pdf|Deciphering Foreign Language by Combining Language Models and Context Vectors]], 2012. |
| * Something about word alignment, recap IBM 1-5 (GIZA++), using word classes, HMM alignments. What is state of the art? | * Something about word alignment, recap IBM 1-5 (GIZA++), using word classes, HMM alignments. What is state of the art? |
| * Ann Clifton, Anoop Sarkar: [[http://www.aclweb.org/anthology/P/P11/P11-1004.pdf|Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction]] ACL 2011 | * Ann Clifton, Anoop Sarkar: [[http://www.aclweb.org/anthology/P/P11/P11-1004.pdf|Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction]] ACL 2011 |
| * T. Berg-Kirkpatrick, D. Burkett, D. Klein: [[http://www.aclweb.org/anthology/D/D12/D12-1091.pdf|An Empirical Investigation of Statistical Significance in NLP]] | * T. Berg-Kirkpatrick, D. Burkett, D. Klein: [[http://www.aclweb.org/anthology/D/D12/D12-1091.pdf|An Empirical Investigation of Statistical Significance in NLP]] |
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| * Chi-kiu LO and Dekai WU: [[http://www.cs.ust.hk/~dekai/library/WU_Dekai/LoWu_Acl2011.pdf|MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility via semantic frames. ACL HLT 2011]] (or other MEANT or HMEANT paper, but this one seems to be THE main one) | * <del>Chi-kiu LO and Dekai WU: [[http://www.cs.ust.hk/~dekai/library/WU_Dekai/LoWu_Acl2011.pdf|MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility via semantic frames. ACL HLT 2011]]</del> |
| * Joseph P. Simmons, Leif D. Nelson, Uri Simonsohn: [[http://people.psych.cornell.edu/~jec7/pcd%20pubs/simmonsetal11.pdf|False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant]], Psychological Science, 2011. Yes, it is a psychological paper, but it is very valuable for anyone doing/reading any evaluation with significance tests. | * Joseph P. Simmons, Leif D. Nelson, Uri Simonsohn: [[http://people.psych.cornell.edu/~jec7/pcd%20pubs/simmonsetal11.pdf|False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant]], Psychological Science, 2011. Yes, it is a psychological paper, but it is very valuable for anyone doing/reading any evaluation with significance tests. |
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| | ==== Language and Vision ==== |
| | * Yansong Feng, Mirella Lapata: [[http://aclweb.org/anthology-new/N/N10/N10-1125.pdf|Topic Models for Image Annotation and Text Illustration]] |
| | * Farhadi, Hejrati, Sadeghi, Young: [[http://www.cs.cmu.edu/~afarhadi/papers/sentence.pdf|Every Picture Tells a Story: Generating Sentences from Images]] |
| | * Kojima, Tamura: [[http://www.cs.ucf.edu/courses/cap6412/2001/kojima.pdf|Natural Language Description of Human Activities from Video Images Based on Concept Hierarchy of Actions]] |
| | * Rohrbach, Regneri et al.: [[http://www.d2.mpi-inf.mpg.de/sites/default/files/rohrbach12eccv.pdf|Script Data for Attribute-based Recognition of Composite Activities]] |
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| ==== Unsupervised Approach to Morphology and Parsing ==== | ==== Unsupervised Approach to Morphology and Parsing ==== |
| * [[http://www.aclweb.org/anthology-new/|ACL archive]],I recommend trying the [[http://aclasb.dfki.de/|ACL Searchbench]] | * [[http://www.aclweb.org/anthology-new/|ACL archive]],I recommend trying the [[http://aclasb.dfki.de/|ACL Searchbench]] |
| * [[http://scholar.google.com]] | * [[http://scholar.google.com]] |
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