Papers
Annotation
Eduard Hovy
Annotation Tool for Discourse in PDT
Jiří Mírovský, Lucie Mladová, Zdeněk Žabokrtský
A Non-invasive Real-Time Method for Measuring Variable Stiffness
G. Grioli and A. Bicchi
An ontology-driven system for detecting global health events
Nigel Collier, Reiko Matsuda Goodwin, John McCrae et al.
An Open-Source Package for Recognizing Textual Entailment
Milen Kouylekov, Matteo Negri
A novel family of non-parametric cumulative based divergences for point processes
Sohan Seth, Park Il, Austin Brockmeier et al.
A Novel Kernel for Learning a Neuron Model from Spike Train Data
Nicholas Fisher, Arunava Banerjee
A Novel Method for Bilingual Web Page Acquisition from Search Engine Web Records
Yanhui Feng, Yu Hong, Zhenxiang Yan et al.
A Novel Reordering Model Based on Multi-layer Phrase for Statistical Machine Translation
Yanqing He, Yu Zhou, Chengqing Zong et al.
An Overview of Microsoft Web N-gram Corpus and Applications
Kuansan Wang, Chris Thrasher, Evelyne Viegas et al.
Antelogue: Pronoun Resolution for Text and Dialogue
Eleni Miltsakaki
An Unsupervised Aspect-Sentiment Model for Online Reviews
Samuel Brody, Noemie Elhadad
A Paraphrasing System for Transforming Regular Expressions into Honorifics
Dongli Han, Shuntaro Kamochi, Xin Song et al.
A POMDP Extension with Belief-dependent Rewards
Mauricio Araya, Olivier Buffet, Vincent Thomas et al.
A Post-processing Approach to Statistical Word Alignment Reflecting Alignment Tendency between Part-of-speeches
Jae-Hee Lee, Seung-Wook Lee, Gumwon Hong et al.
A Potential-based Framework for Online Multi-class Learning with Partial Feedback
Shijun Wang, Rong Jin, Hamed Valizadegan
A Power Mean Based Algorithm for Combining Multiple Alignment Tables
Sameer Maskey, Steven Rennie, Bowen Zhou
Applying Syntactic, Semantic and Discourse Constraints in Chinese Temporal Annotation
Nianwen Xue, Yuping Zhou
Appropriately Handled Prosodic Breaks Help PCFG Parsing
Zhongqiang Huang, Mary Harper
Approximate Inference by Compilation to Arithmetic Circuits
Daniel Lowd, Pedro Domingos
Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper, Andreas Ruttor, Guido Sanguinetti
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Approximate parameter inference in a stochastic reaction-diffusion model
Andreas Ruttor, Manfred Opper
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Antti Honkela, Tapani Raiko, Mikael Kuusela et al.
Approximate Tree Kernels
Konrad Rieck, Tammo Krueger, Ulf Brefeld et al.