Papers
Modelling the Organization and Processing of Bangla Polymorphemic Words in the Mental Lexicon: A Computational Approach
Tirthankar Dasgupta, Manjira Sinha, Anupam Basu
Modified Distortion Matrices for Phrase-Based Statistical Machine Translation
Arianna Bisazza, Marcello Federico
Monolingual Distributional Similarity for Text-to-Text Generation
Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
Sameer Singh, Michael Wick, Andrew McCallum
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
Sameer Singh, Michael Wick, Andrew McCallum
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun et al.
More Is Better: Large Scale Partially-supervised Sentiment Classification
Yoav Haimovitch, Koby Crammer, Shie Mannor
Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi
Raj Dabre, Archana Amberkar, Pushpak Bhattacharyya
Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal
Movie-DiC: a Movie Dialogue Corpus for Research and Development
Rafael E. Banchs
MSR SPLAT, a language analysis toolkit
Chris Quirk, Pallavi Choudhury, Jianfeng Gao et al.
Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims
Multi-Assignment Clustering for Boolean Data
Mario Frank, Andreas P. Streich, David Basin et al.
MULTIBOOST: A Multi-purpose Boosting Package
Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande et al.
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai S. Shwartz
Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco et al.
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-jen Hsiao, Kevin Xu, Jeff Calder et al.
Multi-Dimensional Feature Merger for Question Answering
Apoorv Agarwal, J. William Murdock, Jennifer Chu-Carroll et al.
Multi-Domain Learning: When Do Domains Matter?
Mahesh Joshi, Mark Dredze, William W. Cohen et al.
Multi-Domain Learning: When Do Domains Matter?
Mahesh Joshi, Mark Dredze, William W. Cohen et al.
Multi-Event Extraction Guided by Global Constraints
Roi Reichart, Regina Barzilay
Multi-Instance Learning with Any Hypothesis Class
Sivan Sabato, Naftali Tishby
Multi-instance Multi-label Learning for Relation Extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati et al.
Multi-instance Multi-label Learning for Relation Extraction
Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati et al.
Multi Kernel Learning with Online-Batch Optimization
Francesco Orabona, Luo Jie, Barbara Caputo