ACL Test-of-Time Papers Award Recipients

2024

• The 2024 winner of the 1999 Test-of-Time Paper Award is:
  • Lillian Lee. 1999. Measures of Distributional Similarity. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL), pages 25–32, College Park, Maryland, USA.

• The 2024 winner of the 2014 Test-of-Time Paper Award is:
  • Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014.GloVe: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1532–1543, Doha, Qatar.

2023

• The winners of the 1998 Test-of-Time Paper Award are:
  • Irene Langkilde, Kevin Knight. Generation that Exploits Corpus-Based Statistical Knowledge. Proceedings of ACL 1998.
  • Hinrich Schütze. Automatic Word Sense Discrimination. Computational Linguistics, 24(1). 1998.
• The winners of the 2013 Test-of-Time Paper Award are:
  • Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang, Oscar Täckström, Claudia Bedini, Núria Bertomeu Castelló, Jungmee Lee. Universal Dependency Annotation for Multilingual Parsing. Proceedings of ACL 2013.
  • Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, Christopher Potts. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank. Proceedings of EMNLP 2013.

2022

• The 2022 winners of the 1997 Test-of-Time Paper Award are:
  • Kevin Knight, Jonathan Graehl. Machine Transliteration. Proceedings of ACL 1997.
  • Michael Collins. Three Generative, Lexicalised Models for Statistical Parsing. Proceedings of ACL 1997.
• The 2022 winners of the 2012 Test-of-Time Paper Award are:
  • Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni. Open Language Learning for Information Extraction. Proceedings of EMNLP-CoNLL 2012.
  • Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Stratos, Xufeng Han, Alyssa Mensch, Alex Berg, Tamara Berg, Hal Daumé III. Midge: Generating Image Descriptions From Computer Vision Detections. Proceedings of EACL 2012.

2021

• The 2021 winners of the 1996 Test-of-Time Paper Award are:
  • Adam Berger, Stephen Della Pietra, Vicent Della Pietra. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, Volume 22, Number 1, March 1996.
  • Jean Carletta. Assessing Agreement on Classification Tasks: The Kappa Statistic. Computational Linguistics, Volume 22, Number 2, June 1996.
• The 2021 winners of the 2011 Test-of-Time Paper Award are:
  • Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, Manfred Stede. Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, Volume 37, Issue 2, June 2011.
  • Myle Ott, Yejin Choi, Claire Cardie, Jeff Hancock. Finding Deceptive Opinion Spam by Any Stretch of the Imagination. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.

2020

• The 2020 winners of the 1995 Test-of-Time Award are:
  • Barbara J. Grosz, Aravind K. Joshi, Scott Weinstein. Centering: A Framework for Modeling the Local Coherence of Discourse. Computational Linguistics, 21(2), June
  • David Yarowsky. Unsupervised Word Sense Disambiguation Rivaling Supervised Methods. 33rd Annual Meeting of the Association for Computational Linguistics
• The 2020 winners of the 2010 Test-of-Time Award are:
  • Marco Baroni, Alessandro Lenci. Distributional Memory: A General Framework for Corpus-Based Semantics. Computational Linguistics, 36(4), December
  • Joseph Turian, Lev-Arie Ratinov, Yoshua Bengio. Word Representations: A Simple and General Method for Semi-Supervised Learning. 48th Annual Meeting of the Association for Computational Linguistics

2019

• The 2019 winner of the 1994 Test-of-Time Award is:
  • Bernard Merialdo. Tagging English Text with a Probabilistic Model. Computational Linguistics 20(2), pp. 155–171
• The 2019 winner of the 2009 Test-of-Time Award is:
  • Theresa Wilson, Janyce Wiebe, Paul Hoffmann. Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis. Computational Linguistics 35(3), pp. 399–433