Papers
Learning Named Entity Hyponyms for Question Answering
Paul McNamee, Rion Snow, Patrick Schone et al.
Learning Patterns from the Web to Translate Named Entities for Cross Language Information Retrieval
Yu-Chun Wang, Richard Tzong-Han Tsai, Wen-Lian Hsu
Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara, Kiyotaka Uchimoto
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
Giorgio Corani, Marco Zaffalon
Learning Reliable Information for Dependency Parsing Adaptation
Wenliang Chen, Youzheng Wu, Hitoshi Isahara
Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
Steven Bethard, James H. Martin
Learning Taxonomies by Dependence Maximization
Matthew Blaschko, Arthur Gretton
Learning the Scope of Negation in Biomedical Texts
Roser Morante, Anthony Liekens, Walter Daelemans
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang, Artur Dubrawski, Jeff G. Schneider
Learning to Combine Motor Primitives Via Greedy Additive Regression
Manu Chhabra, Robert A. Jacobs
Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation
Dov Katz, Yuri Pyuro, Oliver Brock
Learning to Predict Code-Switching Points
Thamar Solorio, Yang Liu
Learning to Rank Answers on Large Online QA Collections
Mihai Surdeanu, Massimiliano Ciaramita, Hugo Zaragoza
Learning to Select Features using their Properties
Eyal Krupka, Amir Navot, Naftali Tishby
Learning to Shift the Polarity of Words for Sentiment Classification
Daisuke Ikeda, Hiroya Takamura, Lev-Arie Ratinov et al.
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael T. Todd, Yael Niv, Jonathan D. Cohen
Learning Transformational Invariants from Natural Movies
Charles Cadieu, Bruno A. Olshausen
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
Yejin Choi, Claire Cardie
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang, Irwin King, Michael Lyu
Legal Docket Classification: Where Machine Learning Stumbles
Ramesh Nallapati, Christopher D. Manning
Lexical Chains as Document Features
Dinakar Jayarajan, Dipti Deodhare, Balaraman Ravindran
Lexicalized Phonotactic Word Segmentation
Margaret M. Fleck
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh et al.