Difference between revisions of "LIL Reading Group"

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This is the wiki page for topics to be discussed in the LIL group meetings. While one person will be officially leading the group in each session, the meeting will be structured in the form of a discussion.  
 
This is the wiki page for topics to be discussed in the LIL group meetings. While one person will be officially leading the group in each session, the meeting will be structured in the form of a discussion.  
=== Fall 2014 ===
 
'''When: 3:30PM Friday'''
 
  
'''Where: CSE 503'''
+
== Winter 2015 ==
 +
'''When: 11:00AM Thursday'''
 +
 
 +
'''Where: CSE 303'''
  
 
'''Course number: 591T'''
 
'''Course number: 591T'''
Line 10: Line 11:
  
 
Contact: eunsol@cs
 
Contact: eunsol@cs
 +
  
 
{| class="wikitable"
 
{| class="wikitable"
Line 15: Line 17:
 
! Paper
 
! Paper
 
! Authors
 
! Authors
! Link
+
! Venue
 
! Leader
 
! Leader
 
! Info
 
! Info
 
|-  
 
|-  
| 10/3/14
+
| 1/15/15
annotation party
+
Conditional Random Field Autoencoders for Unsupervised Structured Prediction[http://arxiv.org/pdf/1411.1147v2.pdf]
 +
| Waleed Ammar, Chris Dyer, Noah Smith
 +
| NIPS 2014
 +
| Kenton
 
|  
 
|  
 +
|-
 +
| 1/22/15
 +
| Learning Distributed Representations for Structured Output Prediction [http://papers.nips.cc/paper/5323-learning-distributed-representations-for-structured-output-prediction.pdf]
 +
| Vivek Srikumar, Christopher Manning
 +
| NIPS 2014
 +
| Sameer
 
|  
 
|  
| Chloe Kiddon
+
|-
| -
+
| 1/29/15
| 10/3/14
+
| Grammar as a foreign language[http://arxiv.org/pdf/1412.7449v1.pdf]
| annotation party
+
| Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton
 +
| in submission- ICLR
 +
| Mark
 
|  
 
|  
 +
|-
 +
| 2/5/15
 +
| Brighter than Gold: Figurative Language in User Generated Comparisons[http://vene.ro/figurative-comparisons/niculae14comparisons.pdf]
 +
| Vlad Niculae and Cristian Danescu-Niculescu-Mizil
 +
| EMNLP2014
 +
| Leila
 
|  
 
|  
| Chloe Kiddon
+
|-
| -
+
|2/12/15
| 10/3/14
+
| Quizz: Targeted Crowdsourcing with a Billion (Potential) Users[http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/42022.pdf]
| annotation party
+
| Panagiotis G. Ipeirotis and Evgeniy Gabrilovich
 +
| WWW14
 +
| Luheng
 
|  
 
|  
 +
|-
 +
|2/19/15
 +
| Structured Learning for Taxonomy Induction with Belief Propagation[http://ttic.uchicago.edu/~mbansal/papers/acl14_structuredTaxonomy.pdf]
 +
| Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein
 +
| ACL14
 +
| Xiao
 
|  
 
|  
| Chloe Kiddon
+
|-
| -
+
|2/27/15
| 10/3/14
+
| colspan=5 style="text-align:left;"| No reading group..? ACL deadline
| annotation party
+
 
 +
|-
 +
|3/5/15
 +
| Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment[https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/488/100]
 +
| Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
 +
| TACL14
 +
|Eunsol
 
|  
 
|  
 +
|-
 +
|3/12/15
 +
| Typed Tensor Decomposition of Knowledge Bases for Relation Extraction[http://emnlp2014.org/papers/pdf/EMNLP2014165.pdf]
 +
|Kai-Wei Chang Wen-tau Yih Bishan Yang Christopher Meek
 +
| EMNLP14
 +
|Victoria
 
|  
 
|  
| Chloe Kiddon
+
|-
| -
+
|3/19/15
| 10/3/14
+
| Political Ideology Detection Using Recursive Neural Networks[http://www.aclweb.org/anthology/P/P14/P14-1105.pdf]
| annotation party
+
| Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, Philip Resnik
 +
| ACL14
 +
|Hannah
 
|  
 
|  
|
+
|-
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
| 10/3/14
 
|  annotation party
 
|
 
|
 
| Chloe Kiddon
 
| -
 
 
|}
 
|}
  
 
== Potential Papers ==  
 
== Potential Papers ==  
 +
'''Structured Learning for Structured Knowledge
 +
:Structured Learning for Taxonomy Induction with Belief Propagation
 +
:: Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein, ACL 2014, Best Long Paper Honorable Mention
  
'''Structured Learning for Structured Knowledge:
+
:Simple Map Inference via Low-Rank Relaxations [http://papers.nips.cc/paper/5261-simple-map-inference-via-low-rank-relaxations.pdf]
 
+
::Roy Frostig, Sida I. Wang, Percy Liang, Christopher D. Manning, NIPS 2014
:- Structured Learning for Taxonomy Induction with Belief Propagation. Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein. Proceedings of ACL 2014. Baltimore, MD, USA.[pdf, errata][slides][bib] (Best Long Paper Honorable Mention)
 
  
 
'''Event, Time, Fact, Veridicality :
 
'''Event, Time, Fact, Veridicality :
  
:- de Marneffe, Marie-Catherine; Christopher D. Manning; and Christopher Potts. 2012. Did it happen? The pragmatic complexity of veridicality assessment. Computational Linguistics 38(2): 301-333. [bibtex; PragBank]
+
: Did it happen? The pragmatic complexity of veridicality assessment.
 +
:: de Marneffe, Marie-Catherine; Christopher D. Manning; and Christopher Potts. 2012.
 +
::Computational Linguistics 38(2): 301-333.
  
* Below is a cool application paper, probably good to read so that we get to think about creative evaluation strategies. Since it's only a short paper, we probably want to add another short paper.  
+
:Modeling Factuality Judgments in Social Media Text.
 +
::Sandeep Soni, Tanushree Mitra, Eric Gilbert, and Jacob Eisenstein.  
 +
::Proceedings of ACL (short papers).  
  
:- Modeling Factuality Judgments in Social Media Text. Sandeep Soni, Tanushree Mitra, Eric Gilbert, and Jacob Eisenstein. Proceedings of ACL (short papers). [pdf] [data]
+
'''Reasoning, Causality, Entailment :
  
* need to add some papers on temporal stuff! (not sure what you have already read…)
+
: NaturalLI: Natural Logic Inference for Common Sense Reasoning
 +
:: Gabor Angeli , Chris Manning ,EMNLP 2014
  
'''Reasoning, Causality, Entailment :
+
:Modeling Biological Processes for Reading Comprehension
 +
::Jonathan Berant*, Vivek Srikumar*, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Christopher D. Manning
 +
::EMNLP 2014
 +
 
 +
'''Crowdsourcing for complex NLP tasks, Human-computer Collaboration:
  
- NaturalLI: Natural Logic Inference for Common Sense Reasoning Gabor Angeli , Chris Manning Empirical Methods in Natural Language Processing (EMNLP). 2014
+
:Human Effort and Machine Learnability in Computer Aided Translation.
 +
:: Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning. ,EMNLP 2014.
  
- Jonathan Berant*, Vivek Srikumar*, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Christopher D. Manning Modeling Biological Processes for Reading Comprehension Long paper in EMNLP 2014.       supplementary material  project page
+
:The Efficacy of Human Post-Editing for Language Translation
 +
::Spence Green, Jeffrey Heer, and Christopher D. Manning.  
 +
::CHI 2013, Best Paper Award
  
'''Crowdsourcing for complex NLP tasks, Human-computer Collaboration:
+
:Are Two Heads are Better than One? Crowdsourced Translation via a Two-Step Collaboration between Translators and Editors
 +
::ACL-2014
  
- Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning. 2014. Human Effort and Machine Learnability in Computer Aided Translation. In EMNLP.[pdf, with minor typographical corrections][code] -
+
'''Deep, Neural, Embeddings and such:
  
* Above paper evolved from the following CHI paper, worth checking out both.
+
:Efficient Estimation of Word Representations in Vector Space.
 +
::Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean.  ,Workshop at ICLR, 2013.
  
 +
:Distributed Representations of Words and Phrases and their Compositionality
 +
::Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean.,NIPS, 2013.
 +
 +
:Sequence to sequence learning with neural network[http://arxiv.org/pdf/1409.3215v1.pdf]
 +
::Ilya Sutskever, Oriol Vinyals, Quoc V. Le, NIPS, 2014
  
Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning. 2014. Human Effort and Machine Learnability in Computer Aided Translation. In EMNLP. [pdf, with minor typographical corrections][code] - See more at: http://www.spencegreen.com/#sthash.GF6zYNET.dpuf
+
:Learning distributed representation for structured output prediction [http://papers.nips.cc/paper/5323-learning-distributed-representations-for-structured-output-prediction.pdf]
- Spence Green, Jeffrey Heer, and Christopher D. Manning. 2013. The Efficacy of Human Post-Editing for Language Translation. In CHI. Best Paper Award. [pdf, with minor typographical corrections] [slides] [data]
+
:: Vivek Srikumar, Christopher D. Manning, NIPS, 2014
  
* did Ellie give a talk on the following paper? I really like the idea of deeply integrating crowdsourcing into structural learning process, especially for NLP tasks for which one-time collection of annotation does not seem sufficient, e.g., sentence compression, summarization etc.
+
:Grammar as a Foreign Language
 +
::Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton, arXiv:1412.7449v1 (under review for
  
- Are Two Heads are Better than One? Crowdsourced Translation via a Two-Step Collaboration between Translators and Editors. Rui Yan, Mingkun Gao, Ellie Pavlick, and Chris Callison-Burch. In ACL-2014. [abstract] [bib]
 
  
'''Deep, Neural, Embeddings and such:
 
  
*skip-gram!
 
  
- Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Representations in Vector Space. In Proceedings of Workshop at ICLR, 2013.
+
'''Data-driven Insights into People's Language Use
 +
:Brighter than Gold: Figurative Language in User Generated Comparisons
 +
::Vlad Niculae and Cristian Danescu-Niculescu-Mizil, EMNLP, 2014.
  
- Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed Representations of Words and Phrases and their Compositionality. In Proceedings of NIPS, 2013. 
 
  
Data-driven Insights into People's Language Use
 
- Brighter than Gold: Figurative Language in User Generated Comparisons Vlad Niculae and Cristian Danescu-Niculescu-Mizil Proceedings of EMNLP, 2014.
 
  
 
'''Compositionality:
 
'''Compositionality:
  
* suggestions are welcome!
+
 +
''' Semantic Parsing:
 +
:A* CCG Parsing with a Supertag-factored Model[http://homepages.inf.ed.ac.uk/s1049478/publications/emnlp2014.pdf]
 +
::Mike Lewis, Mark Steedman,EMNLP, 2014
  
  
 +
'''ECCV 2014 Papers:
  
[[old potential papers]]
+
:Linking people in videos with “their” names using coreference resolution
 +
:: Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei, Stanford University
  
'''ECCV 2014 Papers:
+
:Large-Scale Object Classification using Label Relation Graphs
 +
::Jia Deng, University of Michigan; Nan Ding; Yangqing Jia; Andrea Frome; Kevin Murphy; Samy Bengio; Yuan Li, Hartmut Neven; Hartwig Adam
  
Linking people in videos with “their” names using coreference resolution, Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei, Stanford University
+
:Reasoning About Object Affordances in a Knowledge Base Representation
 +
:: Yuke Zhu, Alireza Fathi, Li Fei-Fei, Stanford University
  
Large-Scale Object Classification using Label Relation Graphs, Jia Deng, University of Michigan; Nan Ding; Yangqing Jia; Andrea Frome; Kevin Murphy; Samy Bengio; Yuan Li, Hartmut Neven; Hartwig Adam
 
  
Reasoning About Object Affordances in a Knowledge Base Representation, Yuke Zhu, Alireza Fathi, Li Fei-Fei, Stanford University
+
[[old potential papers]]
  
 
== Previous Quarters ==  
 
== Previous Quarters ==  
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|-
 
|-
 
|}
 
|}
 +
  
 
=== Summer 2012 ===
 
=== Summer 2012 ===
Line 538: Line 566:
 
|  
 
|  
 
|
 
|
 +
|}
 +
=== Fall 2014 ===
 +
 +
 +
{| class="wikitable"
 +
! Date
 +
! Paper
 +
! Authors
 +
! Venue
 +
! Leader
 +
! Info
 +
|-
 +
| 10/3/14
 +
| colspan=3 style="text-align:left;"| Annotation on cooking recipes
 +
| Chloe Kiddon
 +
|
 +
|-
 +
| 10/10/14
 +
| Large-Scale Object Classification using Label Relation Graphs[http://web.eecs.umich.edu/~jiadeng/paper/deng2014large.pdf]
 +
| Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy...etc
 +
| ECCV14
 +
| Mark
 +
|
 +
|-
 +
| 10/17/14
 +
|colspan=3 style="text-align:left;"|Invited talk: What happens if I push this button? Learning planning operators from experience
 +
| Kira Mourao
 +
|
 +
|-
 +
| 10/24/14
 +
| Linguistic Regularities in Sparse and Explicit Word Representations[http://www.cs.bgu.ac.il/~yoavg/publications/conll2014analogies.pdf]
 +
| Omer Levy, Yoav Goldberg
 +
|CONLL 2014
 +
| Chloe
 +
|
 +
|-
 +
| 10/31/14
 +
| Modeling Biological Processes for Reading Comprehension[http://nlp.stanford.edu/pubs/berant-srikumar-manning-emnlp14.pdf]
 +
| Jonathan Berant et al.
 +
| EMNLP 2014
 +
| Xiao + Kenton
 +
|
 +
|-
 +
| 11/7/14
 +
| colspan=5 style="text-align:left;"| NLP Symposium
 +
|-
 +
| 11/14/14
 +
| colspan=3 style="text-align:left;"| UW/MS Symposium in Computational Linguistics
 +
|Time: 3:30-5PM
 +
|Location: Miller 301 at UW
 +
|-
 +
| 11/21/14
 +
| Low-Rank Tensors for Scoring Dependency Structures[http://people.csail.mit.edu/taolei/papers/acl2014.pdf]
 +
| Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, and Tommi Jaakkola
 +
| ACL 2014
 +
| Yoav
 +
|
 +
|-
 +
| 11/28/14
 +
| colspan=5 style="text-align:left;"| Thanksgiving
 +
|-
 +
| 12/5/14
 +
| What are you talking about? Text-to-Image Coreference[http://ttic.uchicago.edu/~mbansal/papers/cvpr14_textImageCoref.pdf]
 +
| Chen Kong et al
 +
| CVPR14
 +
| Fitz + Hannah
 +
|
 +
|-
 
|}
 
|}

Latest revision as of 07:25, 20 March 2015

This is the wiki page for topics to be discussed in the LIL group meetings. While one person will be officially leading the group in each session, the meeting will be structured in the form of a discussion.

Winter 2015

When: 11:00AM Thursday

Where: CSE 303

Course number: 591T

We also have a mailing list lil-group (https://mailman.cs.washington.edu/mailman/listinfo/lil-group).

Contact: eunsol@cs


Date Paper Authors Venue Leader Info
1/15/15 Conditional Random Field Autoencoders for Unsupervised Structured Prediction[1] Waleed Ammar, Chris Dyer, Noah Smith NIPS 2014 Kenton
1/22/15 Learning Distributed Representations for Structured Output Prediction [2] Vivek Srikumar, Christopher Manning NIPS 2014 Sameer
1/29/15 Grammar as a foreign language[3] Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton in submission- ICLR Mark
2/5/15 Brighter than Gold: Figurative Language in User Generated Comparisons[4] Vlad Niculae and Cristian Danescu-Niculescu-Mizil EMNLP2014 Leila
2/12/15 Quizz: Targeted Crowdsourcing with a Billion (Potential) Users[5] Panagiotis G. Ipeirotis and Evgeniy Gabrilovich WWW14 Luheng
2/19/15 Structured Learning for Taxonomy Induction with Belief Propagation[6] Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein ACL14 Xiao
2/27/15 No reading group..? ACL deadline
3/5/15 Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment[7] Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson TACL14 Eunsol
3/12/15 Typed Tensor Decomposition of Knowledge Bases for Relation Extraction[8] Kai-Wei Chang Wen-tau Yih Bishan Yang Christopher Meek EMNLP14 Victoria
3/19/15 Political Ideology Detection Using Recursive Neural Networks[9] Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, Philip Resnik ACL14 Hannah

Potential Papers

Structured Learning for Structured Knowledge

Structured Learning for Taxonomy Induction with Belief Propagation
Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein, ACL 2014, Best Long Paper Honorable Mention
Simple Map Inference via Low-Rank Relaxations [10]
Roy Frostig, Sida I. Wang, Percy Liang, Christopher D. Manning, NIPS 2014

Event, Time, Fact, Veridicality :

Did it happen? The pragmatic complexity of veridicality assessment.
de Marneffe, Marie-Catherine; Christopher D. Manning; and Christopher Potts. 2012.
Computational Linguistics 38(2): 301-333.
Modeling Factuality Judgments in Social Media Text.
Sandeep Soni, Tanushree Mitra, Eric Gilbert, and Jacob Eisenstein.
Proceedings of ACL (short papers).

Reasoning, Causality, Entailment :

NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli , Chris Manning ,EMNLP 2014
Modeling Biological Processes for Reading Comprehension
Jonathan Berant*, Vivek Srikumar*, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Christopher D. Manning
EMNLP 2014

Crowdsourcing for complex NLP tasks, Human-computer Collaboration:

Human Effort and Machine Learnability in Computer Aided Translation.
Spence Green, Sida Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning. ,EMNLP 2014.
The Efficacy of Human Post-Editing for Language Translation
Spence Green, Jeffrey Heer, and Christopher D. Manning.
CHI 2013, Best Paper Award
Are Two Heads are Better than One? Crowdsourced Translation via a Two-Step Collaboration between Translators and Editors
ACL-2014

Deep, Neural, Embeddings and such:

Efficient Estimation of Word Representations in Vector Space.
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. ,Workshop at ICLR, 2013.
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean.,NIPS, 2013.
Sequence to sequence learning with neural network[11]
Ilya Sutskever, Oriol Vinyals, Quoc V. Le, NIPS, 2014
Learning distributed representation for structured output prediction [12]
Vivek Srikumar, Christopher D. Manning, NIPS, 2014
Grammar as a Foreign Language
Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton, arXiv:1412.7449v1 (under review for



Data-driven Insights into People's Language Use

Brighter than Gold: Figurative Language in User Generated Comparisons
Vlad Niculae and Cristian Danescu-Niculescu-Mizil, EMNLP, 2014.


Compositionality:


Semantic Parsing:

A* CCG Parsing with a Supertag-factored Model[13]
Mike Lewis, Mark Steedman,EMNLP, 2014


ECCV 2014 Papers:

Linking people in videos with “their” names using coreference resolution
Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei, Stanford University
Large-Scale Object Classification using Label Relation Graphs
Jia Deng, University of Michigan; Nan Ding; Yangqing Jia; Andrea Frome; Kevin Murphy; Samy Bengio; Yuan Li, Hartmut Neven; Hartwig Adam
Reasoning About Object Affordances in a Knowledge Base Representation
Yuke Zhu, Alireza Fathi, Li Fei-Fei, Stanford University


old potential papers

Previous Quarters

Spring 2012

Date Paper Authors Link Leader Info
3/30/12 A Bayesian Approach to Unsupervised Semantic Role Induction Ivan Titov, Alexandre Klementiev http://people.mmci.uni-saarland.de/~aklement/publications/eacl12srl.pdf Tom Kwiatkowski
4/6/12 Multi-Source Transfer of Delexicalized Dependency Parsers McDonald, Petrov and Hall http://www.aclweb.org/anthology-new/D/D11/D11-1006.pdf Yoav Artzi
4/13/12 Learning Determinantal Point Processes A. Kulesza and B. Taskar http://www.seas.upenn.edu/~taskar/pubs/ldpps_uai11.pdf Luke
4/20/12 Learning Accurate, Compact, and Interpretable Tree Annotation Slav Petrov, Leon Barrett, Romain Thibaux and Dan Klein http://www.petrovi.de/data/acl06.pdf Mark Yatskar
4/27/12 Spectral Learning for Non-Deterministic Dependency Parsing Franco M. Luque, Ariadna Quattoni, Borja Balle, Xavier Carreras http://www.lsi.upc.edu/~bballe/papers/eacl12.pdf Raphael Hoffmann
5/4/12 Dual Decomposition with Many Overlapping Components Andre F. T. Martins, Noah A. Smith, Pedro M. Q. Aguiar, Mario A. T. Figueiredo http://aclweb.org/anthology-new/D/D11/D11-1022.pdf Yoav Artzi
5/11/12 NW-NLP Conference
5/18/12 You had me at hello: How phrasing affects memorability Cristian Danescu-Niculescu-Mizil Justin Cheng Jon Kleinberg Lillian Lee http://www.cs.cornell.edu/~cristian/memorability_files/memorability.pdf Mark Yatskar
5/25/12 (no reading group; go to Yoav's Generals Talk!)
6/1/12 Parsing Time: Learning to Interpret Time Expressions Gabor Angeli, Chris Manning, Dan Jurafsky http://stanford.edu/~angeli/papers/2012-naacl-temporal.pdf Alan Ritter


Summer 2012

Date Paper Authors Venue Leader Info
6/15/12 Weakly Supervised Training of Semantic Parsers Jayant Krishnamurthy and Tom M. Mitchell EMNLP 2012 Luke
7/5/12 Structured Perceptron with Inexact Search L. Huang, S. Fayong and Y. Guo NAACL 2012 Yoav
7/12/12 Distributional semantics in technicolor Bruni, Boleda and Baroni ACL 2012 Tony
7/19/12 Ensemble of Exemplar-SVMs for Object Detection and Beyond Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros ICCV 2011 Nicholas
7/26/12 Midge: Generating Image Descriptions From Computer Vision Detections Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Sratos, Xufeng Han, Alysssa Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daumé III EACL 2012 Jesse
8/2/12 String Re-writing Kernel Fan Bu, Hang Li, Xiaoyan Zhu ACL 2012 Tom
8/9/12 Intel retreat (no reading group)
8/16/12 Raphael's final exam practice talk
8/23/12 Unsupervised Concept-to-text Generation with Hypergraphs I. Konstas and M. Lapata NAACL 2012 Yoav
8/30/12 Joint Entity and Event Coreference Resolution across Documents Heeyoung Lee, Marta Recasens, Angel Chang, Mihai Surdeanu, Dan Jurafsky. EMNLP 2012 Luke
9/6/12 Inverting Grice’s Maxims to Learn Rules from Natural Language Extractions Mohammad Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, Walker Orr, Prasad Tadepalli, and Xiaoli Fern NIPS 2011 Alan
9/13/12 Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints Alexander M. Rush, Roi Reichert, Michael Collins, and Amir Globerson EMNLP 2012 Xiao

Autumn 2012

Date Paper Authors Venue Leader Info
9/28/12 NLP Showcase: CS students presenting their research in a series of short talks [CSE 303, lunch served at 12:00, talks start at 12:30]
10/5/12 Learning High-Level Planning from Text S.R.K. Branavan; Nate Kushman; Tao Lei; Regina Barzilay ACL 2012 Yoav
10/12/12 Phrase-based Statistical Language Generation using Graphical Models and Active Learning Franc¸ois Mairesse, Milica Gasiˇ c´, Filip Jurcˇ´ıcek ˇ , Simon Keizer, Blaise Thomson, Kai Yu and Steve Young ACL 2010 Nicholas
10/19/12 An Empirical Investigation of Statistical Significance in NLP Taylor Berg-Kirkpatrick David Burkett Dan Klein EMNLP 2012 Mark
10/26/12 UW/MSR Machine Learning Workshop (no reading group)
11/2/12 Learning to “Read Between the Lines” using Bayesian Logic Programs Sindhu Raghavan, Raymond J. Mooney and Hyeonseo Ku ACL 2012 Chloé
11/9/12 Vine Pruning for Efficient Multi-Pass Dependency Parsing A. Rush and S. Petrov NAACL 2012 Gabe
11/16/12 Selective Sharing for Multilingual Dependency Parsing Tahira Naseem; Regina Barzilay; Amir Globerson ACL 2012 Yoav
11/23/12 No reading group (Thanksgiving holiday)
11/30/12 Talk: Paul Pham, Quantum Computing and Machine Learning
12/7/12 Climbing the Tower of Babel: Unsupervised Multilingual Learning Benjamin Snyder and Regina Barzilay ICML 2010 Nath

Winter 2013

Date Paper Authors Venue Leader Info
1/11/13 Multiple Choice Learning: Learning to Produce Multiple Structured Outputs A Guzman-Rivera, D Batra, P Kohli NIPS 2012 Yoav
1/18/13 Supervised Noun Phrase Coreference Research: The First Fifteen Years V Ng ACL 2010 Mark
1/25/13 A Multi-Pass Sieve for Coreference Resolution (optional: http://www.mitpressjournals.org/doi/pdf/10.1162/COLI_a_00152) K Raghunathan, H Lee, S Rangarajan, N Chambers, M Surdeanu, D Jurafsky, C Manning EMNLP 2010 Leila
2/1/13 No meeting
2/8/13 Learning-based Multi-Sieve Co-reference Resolution with Knowledge L Ratinov and D Roth ACL 2012 Luke
2/15/13 Coreference Resolution with World Knowledge Altaf Rahman and Vincent Ng ACL 2011 Hanna
2/22/13 UW-MSR CL Symposium (at MSR)
3/1/13 Unsupervised Models for Coreference Resolution V Ng ACL 2008 Hanna
3/8/13 A Discriminative Hierarchical Model for Fast Coreference at Large Scale M Wich, S Singh, A McCallum ACL 2012 Mitchell
3/15/13 Spectral fest: A Spectral Algorithm for Learning Hidden Markov Models D Hasu,S M Kakade, T Zhang Tom video
3/22/13 Spectral fest (contd.) Tom


Spring 2013

Date Paper Authors Venue Leader Info
4/5/13 Spectral fest continued Tom
4/12/13 Spectral fest continued Tom
4/19/13 Learning Structured Classifiers with Dual Coordinate Ascent Andre F. T. Martins, Kevin Gimpel, Noah A. Smith, Eric P. Xing, Mario A., T. Figueiredo, Pedro M. Q. Aguiar 2012 Nicholas
4/26/13 Using Semantic Unification to Generate Regular Expressions from Natural Language Nate Kushman and Regina Barzilay NAACL 2013 Yoav Also required: Better k-best Parsing / Liang Huang and Davind Chiang
5/3/13 Reinforcement Learning: Chapters 1 and 3 (except 3.4) (book details, html version, scanned PDFs within UW) Luke Optional: Chapter 2: 2.1, 2.2, 2.4, 2.6 and 2.10
5/10/13 Probabilistic Frame Induction Jackie Chi Kit Cheung, Hoifung Poon and Lucy Vanderwende NAACL 2013 Mark
5/17/13 UW-MSR CL Symposium (at UW)
5/24/13 RL: Policy gradient methods for reinforcement learning with function approximation Sutton, Richard S., et al. NIPS 2000 Luke Also: Reinforcement Learning for Mapping Instructions to Actions - S.R.K. Branavan, Harr Chen, Luke Zettlemoyer, Regina Barzilay..
5/31/13 RL: Learned Prioritization for Trading Off Accuracy and Speed Jiang, Jiarong, et al. NIPS 2012 Xiao
6/7/13 RL fest

Fall 2014

Date Paper Authors Venue Leader Info
10/3/14 Annotation on cooking recipes Chloe Kiddon
10/10/14 Large-Scale Object Classification using Label Relation Graphs[14] Jia Deng, Nan Ding, Yangqing Jia, Andrea Frome, Kevin Murphy...etc ECCV14 Mark
10/17/14 Invited talk: What happens if I push this button? Learning planning operators from experience Kira Mourao
10/24/14 Linguistic Regularities in Sparse and Explicit Word Representations[15] Omer Levy, Yoav Goldberg CONLL 2014 Chloe
10/31/14 Modeling Biological Processes for Reading Comprehension[16] Jonathan Berant et al. EMNLP 2014 Xiao + Kenton
11/7/14 NLP Symposium
11/14/14 UW/MS Symposium in Computational Linguistics Time: 3:30-5PM Location: Miller 301 at UW
11/21/14 Low-Rank Tensors for Scoring Dependency Structures[17] Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, and Tommi Jaakkola ACL 2014 Yoav
11/28/14 Thanksgiving
12/5/14 What are you talking about? Text-to-Image Coreference[18] Chen Kong et al CVPR14 Fitz + Hannah