Prof. Passonneau for Test-of-Time Paper on Computational Linguistics 🎊
Our professor, Rebecca J. Passonneau, has been nominated as author for Test-of-Time Paper on Computational Linguistics Award!
As stated in the posting from the NAACL chairs blog, the aim of the Test-of-Time Paper Award on Computational Linguistics is to select 1-3 influential and inspiring Computational Linguistics (CL) papers which were published between 2002-2012 at the Association for Computational Linguistics (ACL) conferences (including ACL, NAACL, EACL, EMNLP and CONLL), workshops and journals (including TACL and CL journal), to recognize research that has had long-lasting influence until today, including positive impact on a subarea of CL, across subareas of CL, and outside of the CL research community. These papers may have proposed new research directions and new technologies, or released results and resources that have greatly benefit the community.
One of the classic Computational Linguistics paper nominated for this award is Evaluating Content Selection in Summarization: The Pyramid Method by our professor Rebecca J. Passonneau in collaboration with Ani Nenkova. In this paper, they have presented an empirically grounded method for evaluating content selection in summarization, which incorporates the idea that no single best model summary for a collection of documents exists.
The PSU NLP Lab congratulates its advisor and we can't wait to hear the results of the vote! 🎉
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