Papers
Opinion Target Extraction Using Word-Based Translation Model
Kang Liu, Liheng Xu, Jun Zhao
Extracting Opinion Expressions with semi-Markov Conditional Random Fields
Bishan Yang, Claire Cardie
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars
Kewei Tu, Vasant Honavar
Biased Representation Learning for Domain Adaptation
Fei Huang, Alexander Yates
Multi-Domain Learning: When Do Domains Matter?
Mahesh Joshi, Mark Dredze, William W. Cohen et al.
Besting the Quiz Master: Crowdsourcing Incremental Classification Games
Jordan Boyd-Graber, Brianna Satinoff, He He et al.
Entity based Q&A Retrieval
Amit Singh
Resolving “This-issue” Anaphora
Varada Kolhatkar, Graeme Hirst
Joint Learning for Coreference Resolution with Markov Logic
Yang Song, Jing Jiang, Wayne Xin Zhao et al.
Learning-based Multi-Sieve Co-reference Resolution with Knowledge
Lev Ratinov, Dan Roth
First Order vs. Higher Order Modification in Distributional Semantics
Gemma Boleda, Eva Maria Vecchi, Miquel Cornudella et al.
Polarity Inducing Latent Semantic Analysis
Wen-tau Yih, Geoffrey Zweig, John Platt
Semantic Compositionality through Recursive Matrix-Vector Spaces
Richard Socher, Brody Huval, Christopher D. Manning et al.
Left-to-Right Tree-to-String Decoding with Prediction
Yang Feng, Yang Liu, Qun Liu et al.
Document-Wide Decoding for Phrase-Based Statistical Machine Translation
Christian Hardmeier, Joakim Nivre, Jörg Tiedemann
Language Model Rest Costs and Space-Efficient Storage
Kenneth Heafield, Philipp Koehn, Alon Lavie
A Coherence Model Based on Syntactic Patterns
Annie Louis, Ani Nenkova
Training Factored PCFGs with Expectation Propagation
David Hall, Dan Klein
PATTY: A Taxonomy of Relational Patterns with Semantic Types
Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek
Exact Sampling and Decoding in High-Order Hidden Markov Models
Simon Carter, Marc Dymetman, Guillaume Bouchard
On Amortizing Inference Cost for Structured Prediction
Vivek Srikumar, Gourab Kundu, Dan Roth
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
Sameer Singh, Michael Wick, Andrew McCallum
Sketch Algorithms for Estimating Point Queries in NLP
Amit Goyal, Hal Daumé III, Graham Cormode
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
Doo Soon Kim, Kunal Verma, Peter Yeh