Ben King

Ph.D. candidate in Computer Science at the University of Michigan.

NLP Reading Group

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 16, 2015 Shibamouli Lahiri The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter by Chenhao Tan, Lillian Lee, and Bo Pang

Previous Semesters

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
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