The University of Michigan Natural Language Processing reading group takes place Thursdays from 12-1 p.m. in 3941 BBB and is open to anyone who is interested. Most weeks we will be reading a paper and will
have someone from the group give a presentation on that paper. Come if you are interested in learning more broadly about NLP, keeping up with current trends in NLP, or discussing how the ideas may relate to your work.
Date |
Presenter |
Paper |
Presentation |
January 28, 2013 |
Rahul Jha |
Natural Language Processing (almost) from Scratch by Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa |
|
February 4, 2013 |
Ben King |
Name Phylogeny: A Generative Model of String Variation by Nicholas Andrews, Jason Eisner, and Mark Dredze |
Eisner's Slides |
February 18, 2013 |
Eric Morley |
Training a Parser for Machine Translation Reordering by Jason Katz-Brown, Slav Petrov, Ryan McDonald, Franz Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, and Hideto Kazawa |
|
February 25, 2013 |
Wanchen Lu |
Multi-View Clustering via Canonical Correlation Analysis by Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, and Karthik Sridharan |
slides
|
March 11, 2013 |
Rahul Jha |
Learning to Predict from Textual Data by Kira Radinsky, Sagie Davidovich, Shaul Markovitch |
|
March 18, 2013 |
Ben King |
Empirical Estimates of Adaptation: The chance of Two Noriegas is closer to $p/2$ than $p^2$ by Kenneth W. Church and Level statistics of words: Finding keywords in literary texts and symbolic sequences by P. Carpena, P. Bernaola-Galván, M. Hackenberg, A. V. Coronado, and J. L. Oliver |
slides
|
March 25, 2013 |
Eric Morley |
The Utility of Manual and Automatic Linguistic Error Codes for Identifying Neurodevelopmental Disorders by Eric Morley, Brian Roark, and Jan van Santen |
|
October 9, 2013 |
Ben King |
From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing by Valentin I. Spitkovsky, Hiyan Alshawi, and Daniel Jurafsky |
Spitkovsky's Slides |
October 16, 2013 |
Rahul Jha |
Combined Distributional and Logical Semantics by Mike Lewis and Mark Steedman |
Rahul's Presentation |
October 23, 2013 |
Vinod Vydiswaran |
Question Answering Using Enhanced Lexical Semantic Models by Wen-Tau Yih, Ming-Wei Chang, Christopher Meek, and Andrzej Pastusiak |
Vinod's Presentation |
October 30, 2013 |
Max Kaufman |
Automatic Idiom Identification in Wiktionary by Grace Muzny and Luke Zettlemoyer |
|
November 6, 2013 |
Shibamouli Lahiri |
A Just-In-Time Keyword Extraction from Meeting Transcripts by Hyun-Je Song, Junho Go, Seong-Bae Park, and Se-Young Park |
Shibamouli's presentation |
November 13, 2013 |
Ben King |
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank by Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Chris Manning, Andrew Ng and Chris Potts |
Ben's presentation |
November 20, 2013 |
Verónica Pérez Rosas |
Sentiment extraction from natural audio streams by Lakshmish Kaushik, Abhijeet Sangwan, John H L. Hansen |
|
December 11, 2013 |
V.G. Vinod Vydiswaran |
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 by Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel Martin, and Xiaodan Zhu |
|
February 7, 2014 |
Ben King |
The Crúbadán Project: Corpus building for under-resourced languages by Kevin Scannell |
slides |
February 20, 2014 |
VG Vinod Vydiswaran |
Using Soft Constraints in Joint Inference for Clinical Concept Recognition, by Prateek Jindal and Dan Roth |
|
February 27, 2014 |
Shibamouli Lahiri |
Detecting Promotional Content on Wikipedia |
slides |
March 20, 2014 |
Rada Mihalcea |
State-of-the-Art in Sentiment Analysis of Short Informal Texts |
|
March 27, 2014 |
Catherine Finegan-Dollak |
Weakly Supervised Training of Semantic Parsers by Jayant Krishnamurthy and Tom M. Mitchell |
|
April 3, 2014 |
Verónica Pérez Rosas |
Grounded Language Learning from Video Described with Sentences by Haonan Yu and Jeffrey Mark Siskind |
|
April 10, 2014 |
Xin Rong |
Paraphrase-Driven Learning for Open Question Answering by Anthony Fader, Luke Zettlemoyer, and Oren Etzioni |
|
April 17, 2014 |
Mohamed Abouelenien |
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge by Niveda Krishnamoorthy, Girish Malkarnenkar, Raymond Mooney, Kate Saenko, and Sergio Guadarrama |
|