Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation

By Yin-Wen Chang, Michael Collins. 2011

60 citations recorded by the source corpus.

Subfields: Machine Translation, Algorithms & Complexity

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Machine Translation

1. Alexander M. Rush
2. Dipanjan Das
3. Noah A. Smith
4. Michael Collins
5. André F. T. Martins

In Algorithms & Complexity

1. Alexander M. Rush
2. Noah A. Smith
3. Michael Collins
4. André F. T. Martins

Citations in the corpus

• Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017, neutral): “, (Sontag et al., 2011; Rush and Collins, 2012; Chang and Collins, 2011; Peng et al., 2015)) for dealing with instance-level constraints.”
• Frame-Semantic Parsing (2014, methodology): “…to this work, F¨urstenau and Lapata (2009a) present a method for finding examples for unseen verbs using a graph alignment method; this method represents sentences and their syntactic analysis as graphs and graph alignment is used to project annotations from seed examples to unlabeled sentences.”
• A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing (2012, methodology): “For examples of methods that tighten dual decomposition/Lagrangian relaxation techniques us-ing additional constraints, see Rush and Collins (2011); Chang and Collins (2011)”
• Tractable Semi-supervised Learning of Complex Structured Prediction Models (2013, unknown): “, [17,3]).”