Announcement of the 2022 ACL Test-of-Time Paper Award

May 27, 2022 | BY webmaster

The ACL Test-of-Time Paper Award recognizes up to four papers for their long-lasting impact on the field of Natural Language Processing and Computational Linguistics: two papers from 25 years earlier, and two papers from 10 years earlier.

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.

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What is computational linguistics?

Computational linguistics is the scientific study of language from a computational perspective. Computational linguists are interested in providing computational models of various kinds of linguistic phenomena. These models may be "knowledge-based" ("hand-crafted") or "data-driven" ("statistical" or "empirical"). Work in computational linguistics is in some cases motivated from a scientific perspective in that one is trying to provide a computational explanation for a particular linguistic or psycholinguistic phenomenon; and in other cases the motivation may be more purely technological in that one wants to provide a working component of a speech or natural language system. Indeed, the work of computational linguists is incorporated into many working systems today, including speech recognition systems, text-to-speech synthesizers, automated voice response systems, web search engines, text editors, language instruction materials, to name just a few.

Popular computational linguistics textbooks include:

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