Announcement of the 2024 ACL Test-of-Time Paper Award

August 21, 2024 | 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 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.

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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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