Schedule

Notes:

Project milestone documents are due at the start of class (2:00pm) on their due date.
The schedule is subject to change, as the semester progresses, however any changes will be made at least one week in advance of the dates affected.
You are expected to have completed the readings before class on the days indicated.

Week 1. Aug 30: Introduction and overview

Week 2. Sept. 4, 6: Vector spaces; Concepts

Sept 4

Baldridge: Overview talk on work at UT Austin on geotemporal language analysis. [You can see slides and video of the same talk given at JHU in April 2012.]

Sept 6

Katrin Erk (2012) "Vector space models of word meaning and phrase meaning: a survey", Language and Linguistics Compass, to appear. Available on Blackboard under "Course Documents"
Peter Gärdenfors (2004) "Conceptual Spaces as a Framework for Knowledge Representation". Mind and Matter 2(2), 9-27. PDF
Joanna Bryson (2008). Embodiment vs. Memetics. Mind & Society 7(1):77-94. Pre-print PDF. Discussion lead: Gemma Boleda

Week 3. Sept. 11, 13: Basics of visual spaces

Sept 11

SIFT tutorial: http://www.aishack.in/2010/05/sift-scale-invariant-feature-transform/

Contextual priming for object detection A. Torralba. International Journal of Computer Vision, Vol. 53(2), 169-191, 2003.

Sept 13

Describing Objects by their Attributes. Ali Farhadi, Ian Endres, Derek Hoiem, David Forsyth. In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'09), 2009. Discussion lead: Niveda Krishnamoorthy
Attribute-Centric Recognition for Cross-Category Generalization. Ali Farhadi, Ian Endres, Derek Hoiem. In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10), 2010.
Relative Attributes. D. Parikh and K. Grauman. In Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011 Discussion lead: Girish Malkarnenkar

Parikh's page for the paper, including links to video, slides and code.

Week 4. Sept. 18, 20: Visual spaces and language

Sept 18

Every Picture Tells a Story: Generating Sentences for Images
Ali Farhadi, Mohsen Hejrati, Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, David Forsyth
In proceedings of European conference on Computer Vision
(ECCV'10), 2010.

Sept 20

Richard Socher, Cliff Lin, Andrew Y. Ng, and Christopher D. Manning. 2011. Parsing Natural Scenes and Natural Language with Recursive Neural Networks. The 28th International Conference on Machine Learning (ICML 2011) Discussion lead: Eli Feasley

Week 5. Sept. 25, 27: cont'd; Video

Sept 25

L.J. Li, R. Socher, and L. Fei-Fei. Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. Computer Vision and Pattern Recognition (CVPR) 2009. See also http://vision.stanford.edu/projects/totalscene/index.html

Sept 27

Improving Video Activity Recognition using Object Recognition and Text Mining
Tanvi S. Motwani and Raymond J. Mooney
To Appear In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI-2012), August 2012.
Discussion lead: Girish Malkarnenkar
Marcin Marszalek, Ivan Laptev, Cordelia Schmid (2009). "Actions in context". Proceedings of CVPR.

Week 6. Oct. 2, 4: Geotemporal

Oct 2

P11-1096 [bib]: Benjamin Wing; Jason Baldridge. Simple supervised document geolocation with geodesic grids. ACL 2011. Discussion lead: Siddharth Subramanian
D12-1137 [bib]: Stephen Roller; Michael Speriosu; Sarat Rallapalli; Benjamin Wing; Jason Baldridge. Supervised Text-based Geolocation Using Language Models on an Adaptive Grid. EMNLP 2012
B. Adams and K. Janowicz (2012) On the Geo-Indicativeness of non-Georeferenced Text. In: Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM-12), AAAI Press.

Oct 4

P11-1137 [bib]: Jacob Eisenstein; Noah A. Smith; Eric P. Xing Discovering Sociolinguistic Associations with Structured Sparsity. ACL 2011 Discussion lead: Amelia Harrison

Due: Project ideas

Week 7. Oct. 9, 11

Oct 9

Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang-Ming Yang, Yanwei Pang, and Lei Zhang. Equip Tourists with Knowledge Mined from Travelogues. In Proceedings of the 19th International World Wide Web Conference (WWW 2010).
Nattiya Kanhabua, Sara Romano and Avaré Stewart, Identifying Relevant Temporal Expressions for Real-world Events, In SIGIR 2012 Workshop on Time-aware Information Access (TAIA'2012), Portland, Oregon, USA, August 2012. Discussion lead: Simon Hafner

Oct 11

Abhimanu Kumar, Matt Lease, and Jason Baldridge. 2011. Supervised Language Modeling for Temporal Resolution of Texts. In Proceedings of the 20th ACM Conference on Information Knowledge and Management (CIKM). Glasgow, Scotland.
P12-1011 [bib]: Nathanael Chambers. Labeling Documents with Timestamps: Learning from their Time Expressions. ACL 2012 Discussion lead: Christopher Brown

Week 8. Oct. 16, 18: Applications of geotemporal analysis, e.g. crisis response and epidemic tracking; Grounded data exploration.

Oct 16

Evangelos Kalogerakis, Olga Vesselova, James Hays, Alexei A. Efros, Aaron Hertzmann, "Image Sequence Geolocation with Human Travel Priors", Proceedings of the IEEE Internaltional Conference on Computer Vision Recognition (ICCV), 2009. Discussion lead: Prateek Maheshwari.
Munro, Robert. 2011. Subword and spatiotemporal models for identifying actionable information in Haitian Kreyol. Fifteenth Conference on Computational Natural Language Learning (CoNLL 2011), Portland. Discussion lead: Jason Mielens
Due: project proposal

Oct 18

Munro, Robert, Lucky Gunasekara, Stephanie Nevins, Lalith Polepeddi and Evan Rosen. 2012. Tracking Epidemics with Natural Language Processing and Crowdsourcing. Spring Symposium for Association for the Advancement of Artificial Intelligence (AAAI), Stanford. Discussion lead: Aidan Coyne
Hecht, B., Carton, S., Quaderi, M., Schöning, J., Raubal, M., Gergle, D., Downey, D. Explanatory Semantic Relatedness and Explicit Spatialization for Exploratory Search. Proceedings of ACM SIGIR 2012. New York: ACM Press. Discussion lead: Hoyhon Ryu

Week 9. Oct. 23, 25: Text forecasting

Oct 23

Noah Smith, Text-Driven Forecasting. Discussion lead: Jim Evans
Predicting a Scientific Community's Response to an Article. Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, and Noah A. Smith. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), Edinburgh, UK, July 2011. [We'll read the extended technical report.]

Oct 25

Tausczik, Y. R. & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology. Discussion lead: Joey Frazee
Daniel Gayo-Avello. 2012. A meta-analysis of state-of-the-art electoral prediction from Twitter data. arXiv:1206.5851v1
Johan Bollen, Huina Mao, and Xiao-Jun Zeng. Twitter mood predicts the stock market. Journal of Computational Science, 2(1), March 2011, Pages 1-8. Discussion lead: Karl Pichotta

Additional blog reading: Steven Pav, The junk science behind the 'Twitter hedge fund'.
Additional blog reading: Steven Pav, An open letter to Johan Bollen.

Week 10. Oct. 30, Nov. 1: Vector space frontiers

Oct 30

Andrews, M., Vigliocco, G. & Vinson, D. (2009). Integrating Experiential and Distributional Data to Learn Semantic Representations. Psychological Review, Vol. 116(3), pp 463-498.
N10-1011: Yansong Feng; Mirella Lapata. Visual Information in Semantic Representation. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Nov 1

Elia Bruni, Jasper Uijlings, Marco Baroni and Nicu Sebe. Distributional semantics with eyes: Using image analysis to improve computational representations of word meaning. Proceedings of ACM MM 2012 (20th ACM Multimedia Conference), Brave New Idea paper.
E. Bruni, G. Boleda, M. Baroni, N. K. Tran. 2012. Distributional semantics in technicolor. Proceedings of ACL 2012.

Week 11. Nov. 6, 8: Vector space frontiers

Nov 6

D11-1129: Edward Grefenstette; Mehrnoosh Sadrzadeh. Experimental Support for a Categorical Compositional Distributional Model of Meaning. EMNLP 2011
Due: Project progress report

Nov 8

D12-1110 [bib]: Richard Socher; Brody Huval; Christopher D. Manning; Andrew Y. Ng. Semantic Compositionality through Recursive Matrix-Vector Spaces. EMNLP 2012

Week 12. Nov. 13, 15: Vector space frontiers, and virtual worlds

Nov 13

Katrin Erk, Linking vector space models and formal semantics (no paper)

Nov 15

Chen et al. (2010), Training a multilingual sportscaster: Using perceptual context to learn language. Journal of AI Research.
Joohyun Kim and Raymond J. Mooney. 2012. Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL '12), 433--444, Jeju Island, Korea, July 2012.

Week 13. Nov 20 Vector space frontiers continued

Nov 20

J12-1002: Daoud Clarke. 2012. A Context-Theoretic Framework for Compositionality in Distributional Semantics. Computational Linguistics. Discussion lead: Juwon Lee

Nov 22: Thanksgiving

Week 14. Nov 27, 29: Virtual worlds

Nov 27

Cynthia Matuszek, Evan Herbst, Luke Zettlemoyer, and Dieter Fox. Learning to Parse Natural Language Commands to a Robot Control System. In Proceedings of the International Symposium on Experimental Robotics (ISER), 2012.

Nov 29

S. R. K. Branavan, David Silver and Regina Barzilay. Learning to Win by Reading Manuals in a Monte-Carlo Framework. Journal of Artificial Intelligence Research, 43, 2012.

Week 15. Dec 4 & 6: Project Presentations

Dec 4

14:00 Niveda Krishnamoorthy and Girish Malkarnenkar
14:20 Hohyon Ryu
14:35 Juwon Lee
14:50 Chris Brown
15:05 Stephen Pryor