Papers
Labeled Morphological Segmentation with Semi-Markov Models
Ryan Cotterell, Thomas Müller, Alexander Fraser et al.
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis
Roman Klinger, Philipp Cimiano
Incremental Recurrent Neural Network Dependency Parser with Search-based Discriminative Training
Majid Yazdani, James Henderson
Entity Linking Korean Text: An Unsupervised Learning Approach using Semantic Relations
Youngsik Kim, Key-Sun Choi
Detecting Semantically Equivalent Questions in Online User Forums
Dasha Bogdanova, Cícero dos Santos, Luciano Barbosa et al.
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
Long Duong, Trevor Cohn, Steven Bird et al.
Cross-lingual syntactic variation over age and gender
Anders Johannsen, Dirk Hovy, Anders Søgaard
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL
Yevgeni Berzak, Roi Reichart, Boris Katz
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks
Lizhen Qu, Gabriela Ferraro, Liyuan Zhou et al.
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length
Francisco Guzmán, Preslav Nakov, Stephan Vogel
An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification
Himanshu Sharad Bhatt, Deepali Semwal, Shourya Roy
AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic
Mohamed Al-Badrashiny, Heba Elfardy, Mona Diab
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing
Xiaochang Peng, Linfeng Song, Daniel Gildea
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning
Dan Garrette, Chris Dyer, Jason Baldridge et al.
A Joint Framework for Coreference Resolution and Mention Head Detection
Haoruo Peng, Kai-Wei Chang, Dan Roth
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
Artem Sokolov, Stefan Riezler, Shay B. Cohen
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity
Santosh S. Vempala, Ying. Xiao
Regularized Linear Regression: A Precise Analysis of the Estimation Error
Christos Thrampoulidis, Samet Oymak, Babak Hassibi
Convex Risk Minimization and Conditional Probability Estimation
Matus Telgarsky, Miroslav Dudík, Robert Schapire
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Thomas Steinke, Jonathan Ullman
Minimax rates for memory-bounded sparse linear regression
Jacob Steinhardt, John Duchi
An Almost Optimal PAC Algorithm
Hans U. Simon