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 Reference Papers for Oral Dicussion.
This list of papers is made available to select the article for discussion in the oral session. This is list is and always be work in progress.
So, please check the list every new session in order to locate new papers proposed that are possibly of interest for your exam.
- Kernel-based Learning
- Haussler, David (1999), Convolution kernels on discrete structures. In Technical Report
UCS-CRL-99-10. UC.
- Measuring Similarity with Kernels, from Predicting
Structured Data, Ed. by G”khan H. Bakir, Thomas Hofmann, Bernhard Sch”lkopf, Alexander J.
Smola, Ben Taskar and S. V. N. Vishwanathan, MIT Press 2007.
- Convolution Kernels for Natural Language, Michael Collins, Nigel
Duffy.
- Thomas Gaertner, A Survey of Kernels for Structured Data
- Spectral Learning
- Latent Semantic
Kernels, (Nello Cristianini, Huma Lodhi, John Shawe-Taylor) Journal of Intelligent
Information Systems (JJIS) Vol. 18, No. 2 (March 2002)
- Kenji Fukumizu, Minami Azabu Minatoku, Francis R. Bach, Michael I. Jordan, Dimensionality Reduction for Supervised Learning with Reproducing Kernel
Hilbert Spaces, Journal of Machine Learning Research 5 (2004)
- Large Margin Taxonomy
Embedding with an Application to Document Categorization, Weinberger, K.; Chapelle, O.,
Neural Information Processing Systems (NIPS), Volume 21 (2008)
- Representation Learning: A Review and New Perspectives, Yoshua Bengio, Aaron Courville, Pascal Vincent, (2014)
- Word Sense Disambiguation
- Hinrich Schütze, Automatic Word Sense Discrimination Computational Linguistics, Vol. 24,
No. 1. (1998), pp. 97-123
- David Yarowsky, Unsupervised word sense disambiguation rivaling supervised methods
Proceedings of the 33rd Annual Meeting of the ACL, (1995)
- Navigli, R. and Lapata, M. Graph connectivity measures for unsupervised word sense disambiguation
Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI,
Hyderabad, India). 1683-1688
- Semantic Role Labeling (Shallow Semantic Parsing)
- Daniel Gildea and Daniel Jurafsky, Automatic labeling of semantic roles Computational Linguistics,
2002.
- Pradhan, S., Hacioglu, K., Krugler, V., Ward, W., Martin, J., Jurafsky, D., Support Vector
Learning for Semantic Argument Classification Machine Learning journal, Special issue
on Speech and Natural Language Processing, 2005.
- Alessandro Moschitti, Daniele Pighin, Roberto Basili Tree kernels for semantic role labeling June 2008, Computational
Linguistics , Volume 34 Issue 2 Publisher: MIT Press.
- Question Classification in Question Answering
- S. Quarteroni, A. Moschitti, S. Manandhar, R. Basili, Advanced
Structural Representations for Question Classification and Answer Re-ranking, Advances in
Information Retrieval, 29th European Conference on IR Research, ECIR 2007, Rome, Italy, 2007
- Xin Li and Dan Roth, Learning Question Classifiers: The Role of Semantic Information,
Journal of Natural Language Engineering, Volume 12 , Issue 3 (September 2006).
- Zhiheng Huang, Marcus Thint , Asli Celikyilmaz, Investigation of
Question Classifier in Question Answering, Proceedings of the 2009 Conference on
Empirical Methods in Natural Language Processing, pages 543–550, Singapore, 2009.
- Named Entity Recognition
- Daniel M. Bikel, Richard Schwartz and Ralph M. Weischedel, An
Algorithm that Learns What's in a Name, Journal of Machine Learning, Pages 211-231,
Volume 34, Numbers 1-3, February, 1999.
- Whitelaw, C.; Kehlenbeck, A.; Petrovic, N.; and Ungar, L. Web-scale named entity recognition, In Proceedings of CIKM, 2008.
- Andrew Carlson, Scott Gaffney and Flavian Vasile, Learning a Named Entity Tagger from Gazetteers with the Partial
Perceptron, AAAI Spring Symposium on Learning by Reading and Learning to Read, 2009.
- Music similarity and music recommendation
- J.S. Downie, D. Byrd, and T. Crawford. "Ten Years of ISMIR: Reflections on Challenges and
Opportunities", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe,
2009, pp. 13-18.
Available at: http://ismir2009.ismir.net/proceedings/keynote1.pdf
- M. Bay, A.F. Ehmann and J.S. Downie, "Evaluation of Multiple-F0 Estimation and Tracking
Systems", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009,
pp. 315-320.
Available: http://ismir2009.ismir.net/proceedings/PS2-21.pdf
- E. Law, K. West, M. Mandel, M. Bay and, J. S. Downie, "Evaluation of Algorithms Using Games: The Case of
Music Tagging", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe,
2009, pp. 387-392.
Available: http://ismir2009.ismir.net/proceedings/OS5-5.pdf
- X. Hu, J. S. Downie and A. F. Ehmann, "Lyric Text Mining in Music Mood Classification",
in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009,pp.
411-416.
Available: http://ismir2009.ismir.net/proceedings/PS3-4.pdf
- G. Rockwell, S. Sinclair and J. S. Downie, "T-REX: A text analysis evaluation research
exchange", in the Digital Humanities 2009 Conference , College Park, Maryland, 2009, pp. 230-233
- J. S. Downie, M. Bay, A. F. Ehmann and M. C. Jones, "Audio Cover Song Identification:
MIREX 2006-2007 Results and analysis", in the 9th International Conference on Music
Information Retrieval (ISMIR 2008), Philadelphia, 2008, pp. 468-473.
Available: http://ismir2008.ismir.net/papers/ISMIR2008_265.pdf
- Y. Yu, J. S. Downie, F. Moerchen, L. Chen, K. Joe, "Using exact locality sensitive mapping to group
and detect audio-based cover songs", in the IEEE International Symposium on Multimedia
, Washington, DC, 2008, pp. 302-309.
Available: http://doi.ieeecomputersociety.org/10.1109/ISM.2008.18
- Y. Yu, J. S. Downie, F. Moerchen, L. Chen, K. Joe and V. Oria, "COSIN: Content-Based Retrieval System for
Cover Songs", in the ACM International Conference on Multimedia (ACMMM’08), New York,2008, pp.
987-988.
Available: http://portal.acm.org/citation.cfm?doid=1459359.1459542
- Y. Yu, J. S. Downie, L. Chen, V. Oria and K. Joe, "Searching musical audio datasets by a batch of
multi-variant tracks", in the ACM International Conference on Multimedia Information Retrieval
(ACMMIR’08), New York,2008, pp. 121-127.
Available: http://portal.acm.org/citation.cfm?id=1460117
- K. West, J. S. Downie, X.Hu and M. C. Jones, "Dynamic visualization of music classification
systems", in the 31th Annual International ACM SIGIR Conference, Singapore, 2008, pp. 888.
Available: http://portal.acm.org/citation.cfm?id=1390562
- J.S.Downie, K. West and X. Hu, "Dynamic classification explorer for music
digital libraries", in the 8th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2008) ,
Pittsburgh, PA, 2008, pp. 422.
Available: http://portal.acm.org/citation.cfm?id=1378969&dl=ACM
- Jean-Julien Aucouturier, Francois Pachet, FINDING SONGS THAT SOUND THE SAME,
from ,
Proceedings of IEEE Benelux Workshop on Model-Based Processing and Coding of Audio, November 2002,
Leuven, Belgium.
- Michael I. Mandel and Daniel P.W. Ellis,
SONG-LEVEL FEATURES AND SUPPORT VECTOR MACHINES FOR MUSIC CLASSIFICATION, from
, Proceedings of ISMIR 2005
- Elias Pampalk,
Islands of Music
- Music
Information Retrieval , J. Stephen Downie
- Douglas Turnbull, Luke Barrington, Gert Lanckriet,
Modeling music and words using a multi-class Naive Bayes approach, in Proceedings of ISMIR
2006
- K. Yoshii, M. Goto, K. Komatani, T. Ogata, and H. G. Okuno, An
Efficient Hybrid Music Recommender System Using an Incrementally Trainable
Probabilistic Generative Model , IEEE Trans. Audio, Speech, Lang. Process., vol. 16, no. 2, pp.
435-447, Feb. 2008
- Matthew D. Hoffman, David M. Blei, Perry R. Cook,
EASY AS CBA: A SIMPLE PROBABILISTIC MODEL FOR TAGGING MUSIC, in proceedings in ISMIR 2009
- Semantic Annotation and Retrieval of
Music and Sound Effects,
Douglas Turnbull, Student Member, IEEE, Luke Barrington, David Torres, and Gert Lanckriet
- Brian McFee, Gert Lanckriet,
HETEROGENEOUS EMBEDDING FOR SUBJECTIVE ARTIST SIMILARITY, in Proceedings in IEEE Transactions on
Audio, Speech, and Language Processing, February 2008
- LEARNING SIMILARITY FROM
COLLABORATIVE FILTERS,
Brian McFee, Luke Barrington, Gert Lanckriet
- Brian McFee, Gert Lanckriet Metric
Learning to Rank, Twenty-seventh International Conference on Machine Learning (ICML), 2010
- Beth Logan,
Mel frequency cepstral coefficients for music modeling, In International Symposium on Music
Information Retrieval
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