|
|
| Line 94: |
Line 94: |
| | |} | | |} |
| | | | |
| − | == 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
| |
This is the wiki page for topics to be discussed in the NL grounding reading group.
