Just for my convenience, I’ve listed up best papers of major NLP conferences (ACL / COLING / NAACL / EMNLP / CoNLL) for the past 7 years or so. If you find anything wrong or mistaken, please let me know. Thanks~
ACL
- 2005: David Chiang A hierarchical phrase-based model for statistical machine translation
- 2006: Rion Snow, Daniel Jurafsky, and Andrew Ng. Semantic Taxonomy Induction from Heterogenous Evidence
- 2007: Y. W. Wong and R. J. Mooney Learning synchronous grammars for semantic parsing with lambda calculus
- 2008: Liang Huang. Forest Reranking: Discriminative Parsing with Non-Local Features
Libin Shen, Jinxi Xu and Ralph Weischedel A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model - 2009: Andre Martins, Noah Smith and Eric Xing. Concise Integer Linear Programming Formulations for Dependency Parsing
S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay. Reinforcement Learning for Mapping Instructions to Actions
Adam Pauls and Dan Klein. K-Best A* Parsing - 2010:
Matthew Gerber and Joyce Chai. Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates - 2011: Dipanjan Das, Slav Petrov. Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
COLING
- 2006: See ACL 2006
- 2008: Bill MacCartney and Christopher D. Manning. Modeling semantic containment and exclusion in natural language inference
- 2010: Fan Bu, Xiaoyan Zhu and Ming Li, Measuring the Non-compositionality of Multiword Expressions
NAACL
- 2006: Mehryar Mohri and Brian Roark Probabilistic Context-Free Grammar Induction Based on Structural Zeros
- 2006: Aria Haghighi and Dan Klein Prototype-Driven Learning for Sequence Models
- 2007: Antti-Veikko Rosti, Bing Xiang, Spyros Matsoukas, Richard Schwartz, Necip Fazil Ayan and Bonnie Dorr Combining Outputs from Multiple Machine Translation Systems
- 2009: Hoifung Poon, Colin Cherry and Kristina Toutanova Unsupervised Morphological Segmentation with Log-Linear Models
- 2009: David Chiang, Kevin Knight and Wei Wang 11,001 New Features for Statistical Machine Translation
- 2010: Aria Haghighi and Dan Klein Coreference Resolution in a Modular, Entity-Centered Model
EMNLP
- 2005 Ryan McDonald, Fernando Pereira, Kiril Ribarov and Jan Hajic Non-Projective Dependency Parsing using Spanning Tree Algorithms
- 2006: NO AWARD
- 2007: James Clarke and Maria Lapata Modelling Compression with Discourse Constraints
- 2008: NO AWARD
- 2009: Hoifung Poon and Pedro Domingos Unsupervised semantic parsing
- 2010: Automata Terry Koo, Alexander M. Rush, Michael Collins, Tommi Jaakkola and David Sontag Dual Decomposition for Parsing with Non-Projective Head
- 2011: Wei Lu and Hwee Tou Ng A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions
CoNLL
- 2006: Rie Kubota Ando Applying Alternating Structure Optimization to Word Sense Disambiguation
- 2007: James Clarke and Mirella Lapata. Modelling Compression with Discourse Constraints
- 2009: Roi Reichart, Ari Rappoport. Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
- 2010: Alexander Clark Efficient, correct, unsupervised learning for context-sensitive languages
- 2011 Wen-tau Yih, Kristina Toutanova, John Platt, and Chris Meek Learning Discriminative Projections for Text Similarity Measures
2008: Xavier Carreras, Michael Collins and Terry Koo TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing
About the Author
Masato Hagiwara currently works for Rakuten Institute of Technology in New York, as a Senior Scientist. Have worked on search technologies at Google, Microsoft Research, and Baidu in the past. Expert in Natural Language Processing (NLP). Also a lead translator of the O'Reilly book "Natural Language Processing in Python." A native speaker of Japanese. Good command of English and Chinese (Mandarin). For more information, see About Me.Pages
- 100 NLP Papers
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