Difference between revisions of "NL Grounding Reading Group"

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(Schedule: Autumn 2012)
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== Potential Papers ==  
== Potential Papers ==
'''(in no particular order)'''
* '''EMNLP 2012'''
** Q. Do and W. Lu and D. Roth, Joint Inference for Event Timeline Construction. EMNLP  (2012) http://cogcomp.cs.illinois.edu/papers/DoLuRo12.pdf
** An Empirical Investigation of Statistical Significance in NLP, Taylor Berg-Kirkpatrick, David Burkett, and Dan Klein, Proceedings of EMNLP 2012. http://nlp.cs.berkeley.edu/pubs/BergKirkpatrick-Burkett-Klein_2012_Significance_paper.pdf
** Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output, Jonathan K. Kummerfeld, David Hall, James R. Curran, and Dan Klein, Proceedings of EMNLP 2012.  http://nlp.cs.berkeley.edu/pubs/Kummerfeld-Hall-Curran-Klein_2012_Analysis_paper.pdf
** Learning Constraints for Consistent Timeline Extraction. David McClosky and Christopher D. Manning. http://nlp.stanford.edu/~mcclosky/papers/dmcc-emnlp-2012.pdf
** Spectral Dependency Parsing with Latent Variables. Paramveer Dhillon, Jordan Rodu, Michael Collins, Dean Foster and Lyle Ungar. http://aclweb.org/anthology-new/D/D12/D12-1019.pdf
** Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction. Peifeng Li, Guodong Zhou and Qiaoming Zhu. http://aclweb.org/anthology-new/D/D12/D12-1092.pdf
** A coherence model based on syntactic patterns. Annie Louis and Ani Nenkova. http://aclweb.org/anthology-new/D/D12/D12-1106.pdf (best paper)
** Semantic Compositionality through Recursive Matrix-Vector Spaces. Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. http://aclweb.org/anthology-new/D/D12/D12-1110.pdf
** First order vs. higher order modification in distributional semantics. Gemma Boleda, Eva Maria Vecchi, Miquel Cornudella and Louise McNally. http://aclweb.org/anthology-new/D/D12/D12-1112.pdf
* '''ACL 2012'''
** Coreference Semantics from Web Features, Mohit Bansal and Dan Klein, Proceedings of ACL 2012. http://nlp.cs.berkeley.edu/pubs/Bansal-Klein_2012_CorefSemantics_paper.pdf
** Learning to “Read Between the Lines” using Bayesian Logic Programs. Sindhu Raghavan, Raymond J. Mooney and Hyeonseo Ku. http://www.cs.utexas.edu/users/ml/papers/raghavan.acl12.pdf
** Spectral Learning of Latent-Variable PCFGs. Shay B. Cohen; Karl Stratos; Michael Collins; Dean P. Foster; Lyle Ungar. http://aclweb.org/anthology-new/P/P12/P12-1024.pdf
** A Discriminative Hierarchical Model for Fast Coreference at Large Scale. Michael Wick; Sameer Singh; Andrew McCallum. http://aclweb.org/anthology-new/P/P12/P12-1040.pdf
** Semantic Parsing with Bayesian Tree Transducers. Bevan Jones; Mark Johnson; Sharon Goldwater. http://aclweb.org/anthology-new/P/P12/P12-1051.pdf
** Selective Sharing for Multilingual Dependency Parsing. Tahira Naseem; Regina Barzilay; Amir Globerson. http://aclweb.org/anthology-new/P/P12/P12-1066.pdf
** Improving Word Representations via Global Context and Multiple Word Prototypes. Eric Huang; Richard Socher; Christopher Manning; Andrew Ng. http://aclweb.org/anthology-new/P/P12/P12-1092.pdf
** Unsupervised Relation Discovery with Sense Disambiguation. Limin Yao; Sebastian Riedel; Andrew McCallum. http://aclweb.org/anthology-new/P/P12/P12-1075.pdf
* '''Highlights from ICML 2012 (mostly ML/Structured Prediction, not NLP per se)'''
** Output Space Search for Structured Prediction. 'Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli'. http://icml.cc/2012/papers/587.pdf
** Modeling Latent Variable Uncertainty for Loss-based Learning. 'M. Pawan Kumar, Ben Packer, Daphne Koller'. http://icml.cc/2012/papers/274.pdf
** Efficient Decomposed Learning for Structured Prediction. 'Rajhans Samdani, Dan Roth'. http://icml.cc/2012/papers/122.pdf
** Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. 'Kendrick Boyd, Jesse Davis, David Page, Vitor Santos Costa'. http://icml.cc/2012/papers/349.pdf
** Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. 'Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei Efros'. http://icml.cc/2012/papers/946.pdf (invited application)
** Learning the Central Events and Participants in Unlabeled Text. 'Nathanael Chambers, Dan Jurafsky' http://icml.cc/2012/papers/946.pdf (invited application)
* '''ICML Inferning Workshop'''
** A Framework for Tuning Posterior Entropy in Unsupervised Learning. 'Rajhans Samdani, Ming-Wei Chang and Dan Roth' http://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxpbmZlcm5pbmcxMnxneDozYjhmNmZhNmI4YzA2ZTk5
** Cost-sensitive Dynamic Feature Selection. He He, Hal Daume III and Jason Eisner. http://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxpbmZlcm5pbmcxMnxneDo0ZmQwYjQ3ZGZhZmE1YzAx
* Similarity of Semantic Relations. Peter D. Turney. http://cogprints.org/5098/1/NRC-48775.pdf
* Unsupervised Discovery of Generic Relationships Using Pattern Clusters and its Evaluation by Automatically Generated SAT Analogy Questions. Dmitry Davidov, Ari Rappoport. http://www.cs.huji.ac.il/~arir/sat.pdf
* E. Shutova. 2010. Automatic Metaphor Interpretation as a Paraphrasing Task. In Proceedings of NAACL 2010, Los Angeles, USA.. http://aclweb.org/anthology-new/N/N10/N10-1147.pdf  OR MAYBE Models of metaphor in NLP. ACL 2010 http://aclweb.org/anthology-new/P/P10/P10-1071.pdf
* '''Highlights from NAACL 2012:'''
** Minimum-Risk Training of Approximate CRF Based NLP Systems. V. Stoyanoc and J. Eisner. NAACL 2012. http://www.aclweb.org/anthology/N/N12/N12-1013.pdf
** Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure. O. Täckström, R. McDonald and J. Uszkoroit. NAACL 2012. IBM best paper award. http://soda.swedish-ict.se/5251/1/paper.pdf
** Vine Pruning for Efficient Multi-Pass Dependency Parsing. A. Rush and S. Petrov. NAACL 2012. Best paper award. http://people.csail.mit.edu/srush/vine-paper.pdf
** Unsupervised Concept-to-text Generation with Hypergraphs. I. Konstas and M. Lapata. NAACL 2012. http://aclweb.org/anthology-new/N/N12/N12-1093.pdf
** Unified Expectation Maximization. R. Samdani, M. W. Chang and D. Roth. NAACL 2012. http://www.cs.illinois.edu/homes/rsamdan2/papers/UEM.pdf
* '''Lexicalized Well-founded Grammar:'''
** Grammar Approximation by Representative Sublanguage: A New Model for Language Learning. Smaranda Muresan and Owen Rambow, ACL 2007 http://acl.ldc.upenn.edu/P/P07/P07-1105.pdf
** Learning for Deep Language Understanding. Smaranda Muresan, IJCAI 2011, https://www.aaai.org/ocs/index.php/IJCAI/IJCAI11/paper/viewFile/3316/3750
* Learning Sentence-internal Temporal Relations. Mirella Lapata and Alex Lascarides. Journal of Artificial Intelligence Research, 27, 85-117. 2006. http://www.jair.org/media/2015/live-2015-2866-jair.pdf
*  A Fast, Effective, Non-Projective, Semantically-Enriched Parser. Tratz, S. and E.H. Hovy. 2011.  Proceedings of the EMNLP conference.  Edinburgh, Scotland. http://www.isi.edu/natural-language/people/hovy/papers/11EMNLP-sem-parsing.pdf
*  Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio.. AISTATS '12. http://www.thespermwhale.com/jaseweston/papers/otsm_aistats11.pdf
* Replicated Softmax: an Undirected Topic Model.  Ruslan Salakhutdinov, Geoffrey Hinton.  http://books.nips.cc/papers/files/nips22/NIPS2009_0817.pdf
* Character-based Kernels for Novelistic Plot Structure. Micha Elsner. Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012). http://www.cs.brown.edu/~melsner/novels.pdf
* tability and Accuracy in Incremental Speech Recognition. Ethan Selfridge, Iker Arizmendi, Peter Heeman and Jason D. Williams. 2011. S Proc SIGDIAL, Portland, Oregon, USA. Best Student Paper Award. http://aclweb.org/anthology/W/W11/W11-2014.pdf
*  Perrault, C. R. and J. F. Allen (1980). "A Plan-based Analysis of Indirect Speech Acts." Computational Linguistics 6(3): 167-182. http://acl.ldc.upenn.edu/J/J80/J80-3003.pdf
* Climbing the Tower of Babel: Unsupervised Multilingual Learning. Benjamin Snyder and Regina Barzilay. ICML 2010. http://pages.cs.wisc.edu/~bsnyder/papers/bsnyder_icml2010.pdf
* Learning Accurate, Compact, and Interpretable Tree Annotation. Slav Petrov, Leon Barrett, Romain Thibaux and Dan Klein, COLING/ACL 2006. http://www.petrovi.de/data/acl06.pdf

Revision as of 23:21, 5 October 2012

This is the wiki page for topics to be discussed in the NL grounding reading group.

When: Wednesdays, 3:30pm
Where: CSE 203

We also have a mailing list (https://mailman.cs.washington.edu/mailman/listinfo/grounding).
Contact: cynthia@cs

Schedule: Autumn 2012

Date Paper Authors Venue Leader Info
Oct 3 Learning to Connect Language and Perception Raymond J. Mooney AAAI 2008 Cynthia
Oct 10 Approaching the Symbol Grounding Problem with Probabilistic Graphical Models S. Tellex, T. Kollar, S. Dickerson, M. R. Walter, A. G. Banerjee, S. Teller, N. Roy AI Magazine. 32(4) Nicholas
Oct 17
Oct 24
Oct 31
Nov 7
Nov 14
Nov 21
Nov 28
Dec 5
Dec 12

Potential Papers