Difference between revisions of "Best paper awards"

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(Added 2014 Best Short Paper)
(Add other 2018 best papers)
 
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|2014 (Short)
 
|2014 (Short)
 
|Jean Mark Gawron
 
|Jean Mark Gawron
|[http://www.aclweb.org/anthology/P14-2049 Improving sparse word similarity models with asymmetric similarity measures.]
+
|[http://www.aclweb.org/anthology/P14-2049 Improving sparse word similarity models with asymmetric similarity measures]
 
|-
 
|-
 
|2014 (Student)
 
|2014 (Student)
 
|Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola
 
|Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola
 
|[http://www.aclweb.org/anthology/P14-1130 Low-Rank Tensors for Scoring Dependency Structures]
 
|[http://www.aclweb.org/anthology/P14-1130 Low-Rank Tensors for Scoring Dependency Structures]
 +
|-
 +
|2015
 +
|Yvette Graham
 +
|[https://www.aclweb.org/anthology/E17-2057/ Improving Evaluation of Machine Translation Quality Estimation]
 +
|-
 +
|2015
 +
|Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum,
 +
|[https://www.aclweb.org/anthology/P15-1015/ Learning Dynamic Feature Selection for Fast Sequential Prediction]
 +
|-
 +
|2016
 +
|E.Dario Gutiérrez, Roger Levy, Benjamin Bergen
 +
|[https://www.aclweb.org/anthology/P16-1225/ Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression]
 +
|-
 +
|2017
 +
|Ryan Cotterell, Jason Eisner
 +
|[https://www.aclweb.org/anthology/P17-1109/ Probabilistic Typology: Deep Generative Models of Vowel Inventories]
 +
|-
 +
|2018
 +
|John Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan
 +
|[https://www.aclweb.org/anthology/P18-1254/ Finding syntax in human encephalography with beam search]
 +
|-
 +
|2018
 +
|Sudha Rao and Hal Daumé III
 +
|[https://aclanthology.org/P18-1255/ Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information]
 +
|-
 +
|2018
 +
|Andre Cianflone, Yulan Feng, Jad Kabbara and Jackie Chi Kit Cheung
 +
|[https://aclanthology.org/P18-1256/ Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers]
 +
|-
 +
|2019
 +
|Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu
 +
|[https://www.aclweb.org/anthology/P19-1426/ Bridging the Gap between Training and Inference for Neural Machine Translation]
 +
|-
 
|}
 
|}
  
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|Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith
 
|Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith
 
|[http://aclweb.org/anthology/N/N15/N15-1184.pdf Retrofitting Word Vectors to Semantic Lexicons]
 
|[http://aclweb.org/anthology/N/N15/N15-1184.pdf Retrofitting Word Vectors to Semantic Lexicons]
 +
|-
 +
|2016
 +
|Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber and Hal Daumé III
 +
|[https://www.aclweb.org/anthology/N16-1180/ Feuding Families and Former Friends; Unsupervised Learning for Dynamic Fictional Relationships]
 +
|-
 +
|2016
 +
|Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein
 +
|[https://www.aclweb.org/anthology/N16-1181/ Learning to Compose Neural Networks for Question Answering]
 +
|-
 +
|2018
 +
|Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
 +
|[https://www.aclweb.org/anthology/N18-1202/  Deep contextualized word representations]
 +
|-
 +
|2019
 +
|Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova
 +
|[https://www.aclweb.org/anthology/N19-1423/ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding]
 
|-
 
|-
 
|}
 
|}
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|Valentin Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
 
|Valentin Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
 
|[http://www.aclweb.org/anthology/D13-1204 Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction]
 
|[http://www.aclweb.org/anthology/D13-1204 Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction]
 +
|-
 +
|2014
 +
|Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark and Christopher D. Manning
 +
|[https://www.aclweb.org/anthology/D14-1159/ Modeling Biological Processes for Reading Comprehension]
 +
|-
 +
|2015
 +
|Yoav Artzi, Kenton Lee and Luke Zettlemoyer
 +
|[https://www.aclweb.org/anthology/D15-1198/ Broad-coverage CCG Semantic Parsing with AMR]
 +
|-
 +
|2015
 +
|Tsung-Hsien Wen, Milica Gasic, Nikola Mrkši´c, Pei-Hao Su, David Vandyke and Steve Young
 +
|[https://www.aclweb.org/anthology/D15-1199/ Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems]
 +
|-
 +
|2016
 +
|Karthik Narasimhan, Adam Yala and Regina Barzilay
 +
|[https://www.aclweb.org/anthology/D16-1261/ Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning]
 +
|-
 +
|2016
 +
|Kenton Lee, Mike Lewis and Luke Zettlemoyer
 +
|[https://www.aclweb.org/anthology/D16-1262/ Global Neural CCG Parsing with Optimality Guarantees]
 +
|-
 +
|2017
 +
|Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chang
 +
|[https://www.aclweb.org/anthology/D17-1323/ Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints]
 +
|-
 +
|2017
 +
|Andrew Yates, Arman Cohan and Nazli Goharian
 +
|[https://www.aclweb.org/anthology/D17-1322/ Depression and Self-Harm Risk Assessment in Online Forums]
 +
|-
 +
|2018
 +
|Emma Strubell, Patrick Verga, Daniel Andor, David Weiss and Andrew McCallum
 +
|[https://www.aclweb.org/anthology/D18-1548/ Linguistically-Informed Self-Attention for Semantic Role Labeling]
 +
|-
 +
|2019
 +
|Xiang Lisa Li and Jason Eisner
 +
|[https://www.aclweb.org/anthology/D19-1276/ Specializing Word Embeddings (for Parsing) by Information Bottleneck]
 
|-
 
|-
 
|}
 
|}

Latest revision as of 09:36, 5 July 2021

ACL

A few items are still missing. Please help complete this table and link papers to PDFs in the ACL Anthology.

Year Author Paper Title
2001 Eugene Charniak Immediate-head parsing for language modeling
2001 Ulrich Germann, Michael Jahr, Kevin Knight, Daniel Marcu, and Kenji Yamada Fast Decoding and Optimal Decoding for Machine Translation
2002 Franz Och and Hermann Ney Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
2003 Dan Klein and Chris Manning Accurate Unlexicalized Parsing
2003 Yukiko Nakano, Gabe Reinstein, Tom Stocky, and Justine Cassell Towards a Model of Face-to-Face Grounding
2004 Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll Finding Predominant Word Senses in Untagged Text
2005 David Chiang A hierarchical phrase-based model for statistical machine translation
2006 Rion Snow, Dan Jurafsky, and Andrew Y. 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
2008 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
2009 S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay Reinforcement Learning for Mapping Instructions to Actions
2009 Adam Pauls and Dan Klein K-Best A* Parsing
2010 (Long) Matthew Gerber and Joyce Chai Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
2010 (Short) Michael Lamar, Yariv Maron, Mark Johnson and Elie Bienenstock SVD and Clustering for Unsupervised POS Tagging
2010 (Student) David Elson, Nicholas Dames and Kathleen McKeown Extracting Social Networks from Literary Fiction
2011 Dipanjan Das and Slav Petrov Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
2012 (Long) Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino and Masaaki Nagata Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing
2012 (Student) Fan Bu, Hang Li and Xiaoyan Zhu String Re-writing Kernel
2013 Haonan Yu and Jeffrey Mark Siskind Grounded Language Learning from Video Described with Sentences
2013 (Student) Abdellah Fourtassi and Emmanuel Dupoux A corpus-based evaluation method for Distributional Semantic Models
2014 Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz and John Makhoul Fast and Robust Neural Network Joint Models for Statistical Machine Translation
2014 (Short) Jean Mark Gawron Improving sparse word similarity models with asymmetric similarity measures
2014 (Student) Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola Low-Rank Tensors for Scoring Dependency Structures
2015 Yvette Graham Improving Evaluation of Machine Translation Quality Estimation
2015 Emma Strubell, Luke Vilnis, Kate Silverstein, Andrew McCallum, Learning Dynamic Feature Selection for Fast Sequential Prediction
2016 E.Dario Gutiérrez, Roger Levy, Benjamin Bergen Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression
2017 Ryan Cotterell, Jason Eisner Probabilistic Typology: Deep Generative Models of Vowel Inventories
2018 John Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan Finding syntax in human encephalography with beam search
2018 Sudha Rao and Hal Daumé III Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information
2018 Andre Cianflone, Yulan Feng, Jad Kabbara and Jackie Chi Kit Cheung Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers
2019 Wen Zhang, Yang Feng, Fandong Meng, Di You and Qun Liu Bridging the Gap between Training and Inference for Neural Machine Translation

NAACL

Year Author Paper Title
2004 Regina Barzilay, MIT, and Lillian Lee, Cornell Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
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 (long) Aria Haghighi and Dan Klein Coreference Resolution in a Modular, Entity-Centered Model
2010 (short) Jennifer Foster “cba to check the spelling”: Investigating Parser Performance on Discussion Forum Posts
2012 (full) Alexander Rush and Slav Petrov Vine Pruning for Efficient Multi-Pass Dependency Parsing
2012 (short) Jacob Devlin and Spyros Matsoukas Trait-Based Hypothesis Selection for Machine Translation
2012 (student) Oscar Taeckstroem, Ryan McDonald and Jakob Uszkoreit Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
2013 (full) no award given
2013 (short) Marta Recasens, Marie-Catherine de Marneffe and Christopher Potts The Life and Death of Discourse Entities: Identifying Singleton Mentions
2013 (student) Bradley Hauer and Greg Kondrak Automatic Generation of English Respellings
2015 (long) Radu Soricut and Franz Och Unsupervised Morphology Induction Using Word Embeddings
2015 (student) Vinodh Krishnan and Jacob Eisenstein "You’re Mr. Lebowski, I’m the Dude”: Inducing Address Term Formality in Signed Social Networks
2015 (student) Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith Retrofitting Word Vectors to Semantic Lexicons
2016 Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber and Hal Daumé III Feuding Families and Former Friends; Unsupervised Learning for Dynamic Fictional Relationships
2016 Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein Learning to Compose Neural Networks for Question Answering
2018 Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer Deep contextualized word representations
2019 Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

EMNLP

Year Author Paper Title
2002 Michael Collins Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
2002 Frank Keller, Maria Lapata, and Olga Ourioupina Using the Web to Overcome Data Sparseness
2003 Peng Xu, Ahmad Emami and Frederick Jelinek Training Connectionist Models for the Structured Language Model
2004 Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, and Christopher Manning Max-Margin Parsing
2005 (best student paper) Ryan McDonald, Fernando Pereira, Kiril Ribarov and Jan Hajic Non-Projective Dependency Parsing using Spanning Tree Algorithms
2006 no award given
2007 James Clarke and Maria Lapata Modelling Compression with Discourse Constraints
2008 no award given
2009 Hoifung Poon and Pedro Domingos Unsupervised semantic parsing
2010 Terry Koo, Alexander M. Rush, Michael Collins, Tommi Jaakkola, and David Sontag Dual Decomposition for Parsing with Non-Projective Head Automata
2011 Wei Lu and Hwee Tou Ng A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions
2012 Annie Louis and Ani Nenkova A Coherence Model Based on Syntactic Patterns
2013 Valentin Spitkovsky, Hiyan Alshawi and Daniel Jurafsky Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
2014 Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark and Christopher D. Manning Modeling Biological Processes for Reading Comprehension
2015 Yoav Artzi, Kenton Lee and Luke Zettlemoyer Broad-coverage CCG Semantic Parsing with AMR
2015 Tsung-Hsien Wen, Milica Gasic, Nikola Mrkši´c, Pei-Hao Su, David Vandyke and Steve Young Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
2016 Karthik Narasimhan, Adam Yala and Regina Barzilay Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
2016 Kenton Lee, Mike Lewis and Luke Zettlemoyer Global Neural CCG Parsing with Optimality Guarantees
2017 Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chang Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
2017 Andrew Yates, Arman Cohan and Nazli Goharian Depression and Self-Harm Risk Assessment in Online Forums
2018 Emma Strubell, Patrick Verga, Daniel Andor, David Weiss and Andrew McCallum Linguistically-Informed Self-Attention for Semantic Role Labeling
2019 Xiang Lisa Li and Jason Eisner Specializing Word Embeddings (for Parsing) by Information Bottleneck

IJCNLP

Year Author Paper Title
2005 John Carroll and Stephan Oepen High Efficiency Realization for a Wide-Coverage Unification Grammar
2009 Andre Martins, Noah Smith and Eric Xing Concise Integer Linear Programming Formulations for Dependency Parsing
2009 S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay Reinforcement Learning for Mapping Instructions to Actions
2009 Adam Pauls and Dan Klein K-Best A* Parsing
2011 Caecilia Zirn, Mathias Niepert, Heiner Stuckenschmidt, and Michael Strube Fine-Grained Sentiment Analysis with Structural Features
2011 Siva Reddy, Ioannis Klapaftis, Diana McCarthy and Suresh Manandhar Dynamic and Static Prototype Vectors for Semantic Composition
2013 Houda Bouamor, Behrang Mohit and Kemal Oflazer SuMT: A Framework of Summarization and MT