Papers
ConsentCanvas: Automatic Texturing for Improved Readability in End-User License Agreements
Oliver Schneider, Alex Garnett
A Latent Topic Extracting Method based on Events in a Document and its Application
Risa Kitajima, Ichiro Kobayashi
Extracting and Classifying Urdu Multiword Expressions
Annette Hautli, Sebastian Sulger
Word Alignment Combination over Multiple Word Segmentation
Ning Xi, Guangchao Tang, Boyuan Li et al.
Proceedings of the ACL 2011 Student Session
Sasa Petrovic, Ethan Selfridge, Emily Pitler et al.
Entity Set Expansion using Topic information
Kugatsu Sadamitsu, Kuniko Saito, Kenji Imamura et al.
The Surprising Variance in Shortest-Derivation Parsing
Mohit Bansal, Dan Klein
Better Automatic Treebank Conversion Using A Feature-Based Approach
Muhua Zhu, Jingbo Zhu, Minghan Hu
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
Gholamreza Haffari, Marzieh Razavi, Anoop Sarkar
Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser
Yoav Goldberg, Michael Elhadad
Improving Dependency Parsing with Semantic Classes
Eneko Agirre, Kepa Bengoetxea, Koldo Gojenola et al.
Using Derivation Trees for Treebank Error Detection
Seth Kulick, Ann Bies, Justin Mott
Getting the Most out of Transition-based Dependency Parsing
Jinho D. Choi, Martha Palmer
Unary Constraints for Efficient Context-Free Parsing
Nathan Bodenstab, Kristy Hollingshead, Brian Roark
A Hierarchical Model of Web Summaries
Yves Petinot, Kathleen McKeown, Kapil Thadani
Simple English Wikipedia: A New Text Simplification Task
William Coster, David Kauchak
Does Size Matter – How Much Data is Required to Train a REG Algorithm?
Mariët Theune, Ruud Koolen, Emiel Krahmer et al.
Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation
Nina Dethlefs, Heriberto Cuayáhuitl
Comparative News Summarization Using Linear Programming
Xiaojiang Huang, Xiaojun Wan, Jianguo Xiao
Probabilistic Document Modeling for Syntax Removal in Text Summarization
William M. Darling, Fei Song