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.

Fall 2014

When: 3:30PM Friday

Where: CSE 503

Course number: 591T

We also have a mailing list lil-group (

Contact: eunsol@cs

Date Paper Authors Link Leader Info
10/3/14 annotation party Chloe Kiddon -

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. Proceedings of ACL 2014. Baltimore, MD, USA.[pdf, errata][slides][bib] (Best Long Paper Honorable Mention)

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]

  • 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). [pdf] [data]

  • need to add some papers on temporal stuff! (not sure what you have already read…)

Reasoning, Causality, Entailment :

- NaturalLI: Natural Logic Inference for Common Sense Reasoning Gabor Angeli , Chris Manning Empirical Methods in Natural Language Processing (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

Crowdsourcing for complex NLP tasks, Human-computer Collaboration:

- 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] -

  • Above paper evolved from the following CHI paper, worth checking out both.

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: - 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]

  • 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.

- 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.

- 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.


* suggestions are welcome!

old potential papers

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

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 Tom Kwiatkowski
4/6/12 Multi-Source Transfer of Delexicalized Dependency Parsers McDonald, Petrov and Hall Yoav Artzi
4/13/12 Learning Determinantal Point Processes A. Kulesza and B. Taskar Luke
4/20/12 Learning Accurate, Compact, and Interpretable Tree Annotation Slav Petrov, Leon Barrett, Romain Thibaux and Dan Klein Mark Yatskar
4/27/12 Spectral Learning for Non-Deterministic Dependency Parsing Franco M. Luque, Ariadna Quattoni, Borja Balle, Xavier Carreras 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 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 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 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: 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