Papers
Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks
Rion Snow, Brendan O’Connor, Daniel Jurafsky et al.
Online Large-Margin Training of Syntactic and Structural Translation Features
David Chiang, Yuval Marton, Philip Resnik
Probabilistic Inference for Machine Translation
Phil Blunsom, Miles Osborne
Forest-based Translation Rule Extraction
Haitao Mi, Liang Huang
Syntactic Constraints on Paraphrases Extracted from Parallel Corpora
Chris Callison-Burch
Revisiting Readability: A Unified Framework for Predicting Text Quality
Emily Pitler, Ani Nenkova
Sentence Fusion via Dependency Graph Compression
Katja Filippova, Michael Strube
Better Binarization for the CKY Parsing
Xinying Song, Shilin Ding, Chin-Yew Lin
Stacking Dependency Parsers
André F. T. Martins, Dipanjan Das, Noah A. Smith et al.
Dependency Parsing by Belief Propagation
David Smith, Jason Eisner
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
Kevin Hsin-Yih Lin, Hsin-Hsi Chen
Multilingual Subjectivity Analysis Using Machine Translation
Carmen Banea, Rada Mihalcea, Janyce Wiebe et al.
Adding Redundant Features for CRFs-based Sentence Sentiment Classification
Jun Zhao, Kang Liu, Gen Wang
Coarse-to-Fine Syntactic Machine Translation using Language Projections
Slav Petrov, Aria Haghighi, Dan Klein
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems
Xiaodong He, Mei Yang, Jianfeng Gao et al.
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
Qun Liu, Zhongjun He, Yang Liu et al.
Scaling Textual Inference to the Web
Stefan Schoenmackers, Oren Etzioni, Daniel Weld
Dependency-based Semantic Role Labeling of PropBank
Richard Johansson, Pierre Nugues
Discriminative Learning of Selectional Preference from Unlabeled Text
Shane Bergsma, Dekang Lin, Randy Goebel
One-Class Clustering in the Text Domain
Ron Bekkerman, Koby Crammer
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
Omar Zaidan, Jason Eisner
Regular Expression Learning for Information Extraction
Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghavan et al.