Import of 2016_bigdata_text

Former-commit-id: dd53109

Author: ezubaric

2016_icml_opponent.tex

@@ -119,7 +119,7 @@
 % Acknowledgements should only appear in the accepted version.
 
 \section*{Acknowledgements}
-We thank Hua He, Xiujun Li and Mohit Iyyer for helpful discussions about deep Q-learning and our model. 
+We thank Hua He, Xiujun Li, and Mohit Iyyer for helpful discussions about deep Q-learning and our model. 
 We also thank the anonymous reviewers for their insightful comments.
 This work was supported by \abr{nsf} grant \abr{iis}-1320538.
 Boyd-Graber is also partially supported by \abr{nsf} grants

2016_icml_opponent/sections/experiments.tex

@@ -350,10 +350,8 @@ \subsection{Quiz Bowl}
 Words where an agent buzzes is subscripted by a symbol unique to the agent;
 color of the symbol corresponds to the player it is playing against.
 A gray symbol means that buzz position of the agent does not depend on its opponent.
-
 \dron{} agents adjust their buzz positions according to the opponent's buzz position and correctness.
-Best viewed in color.
-}
+Best viewed in color.}
 \label{fig:buzz_example}
 \end{figure}
 

Makefile

@@ -32,6 +32,14 @@ clean:
 	cp $@ ~/public_html/temp
 	./scripts/style-check.rb $(<:.tex=)/*.tex $(<:.tex=)/sections/*.tex
 
+%.nsf.pdf: %.paper.pdf
+	cd $(<:.paper.pdf=)/supporting && pdflatex summary
+	cd $(<:.paper.pdf=)/supporting && pdflatex jbg_bio
+	cd $(<:.paper.pdf=)/supporting && pdflatex data_plan
+	mkdir -p $(<:.paper.pdf=)/output
+	mv $(<:.paper.pdf=)/supporting/*.pdf $(<:.paper.pdf=)/output
+	cp $< $(<:.paper.pdf=)/output
+
 %.paper.ps: %.tex %.bbl style/preamble.tex $(TEX) $(GFX)
 	latex $<
 	latex $<

bib/aguha.bib

@@ -1,3 +1,5 @@
+
+
 %vision language biology motivation papers
 @article{kirkham2002visual,
   title={Visual statistical learning in infancy: Evidence for a domain general learning mechanism},

bib/ek_wiki.bib

@@ -161,7 +161,7 @@ @inproceedings{ramage-10b
 @inproceedings{mcauliffe2008supervised,
   title={Supervised topic models},
   author={Mcauliffe, Jon D and Blei, David M},
-  booktitle={Advances in neural information processing systems},
+  booktitle=nips,
   pages={121--128},
   year={2008}
 }
@@ -357,7 +357,7 @@ @article{hwa2004sample
 @inproceedings{osborne2004ensemble,
   title={Ensemble-based Active Learning for Parse Selection.},
   author={Osborne, Miles and Baldridge, Jason},
-  booktitle={HLT-NAACL},
+  booktitle=naacl,
   pages={89--96},
   year={2004},
   organization={Citeseer}
@@ -366,8 +366,7 @@ @inproceedings{osborne2004ensemble
 @inproceedings{ngai2000rule,
   title={Rule writing or annotation: Cost-efficient resource usage for base noun phrase chunking},
   author={Ngai, Grace and Yarowsky, David},
-  booktitle={Proceedings of the 38th Annual Meeting on Association for Computational Linguistics},
-  pages={117--125},
+  booktitle=acl,
   year={2000},
   organization={Association for Computational Linguistics}
 }
@@ -393,7 +392,7 @@ @inproceedings{haertel2008assessing
 @inproceedings{tomanek2007approach,
   title={An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data.},
   author={Tomanek, Katrin and Wermter, Joachim and Hahn, Udo},
-  booktitle={EMNLP-CoNLL},
+  booktitle=emnlp,
   pages={486--495},
   year={2007}
 }
@@ -494,7 +493,7 @@ @article{settles2012active
 @inproceedings{aletras2014labelling,
   title={Labelling Topics using Unsupervised Graph-based Methods.},
   author={Aletras, Nikolaos and Stevenson, Mark},
-  booktitle={ACL (2)},
+  booktitle=acl,
   pages={631--636},
   year={2014}
 }
@@ -507,8 +506,7 @@ @inproceedings{anand2011believe
 @inproceedings{iyyer2014political,
   title={Political Ideology Detection Using Recursive Neural Networks.},
   author={Iyyer, Mohit and Enns, Peter and Boyd-Graber, Jordan L and Resnik, Philip},
-  booktitle={ACL (1)},
-  pages={1113--1122},
+  booktitle=acl,
   year={2014}
 }
 @article{boyd2014care,
@@ -524,4 +522,14 @@ @incollection{nikolova2011collecting
   pages={81--93},
   year={2011},
   publisher={Springer}
+}
+@article{roberts2014structural,
+  title={Structural Topic Models for Open-Ended Survey Responses},
+  author={Roberts, Margaret E and Stewart, Brandon M and Tingley, Dustin and Lucas, Christopher and Leder-Luis, Jetson and Gadarian, Shana Kushner and Albertson, Bethany and Rand, David G},
+  journal={American Journal of Political Science},
+  volume={58},
+  number={4},
+  pages={1064--1082},
+  year={2014},
+  publisher={Wiley Online Library}
 }

bib/forough.bib

@@ -1 +1 @@
-8ebc8ca3b17ee901d8335155ffdc6d57e52e123e
+db9280d0bcafc80e17cebf10177c176ec0c1dbfb

bib/jbg.bib.REMOVED.git-id

@@ -0,0 +1 @@
+c31ebc9f367798598d765c0cd124a7f565d3b174

bib/jbg.bib~.REMOVED.git-id

@@ -15,6 +15,8 @@ @String{hlt=
 @String{ica="International Conference on Independent Component Analysis and Signal Separation"}
 @String{icdm="International Conference on Data Mining"}
 @String{iccv="International Conference on Computer Vision"}
+@String{iclsp="International Conference on Lexicography and Semantic Prosody"}
+@String{icslp="International Conference on Spoken Language Processing"}
 @String{icwsm="International Conference on Weblogs and Social Media"}
 @String{ai="Artificial Intelligence"}
 @String{ijcai="International Joint Conference on Artificial Intelligence"}