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The survey of the LREC conferences over the period 1998-2013 was presented during the 2014 conference [1] in Reykjavik as a closing session. [2] It appears that the number of papers and signatures is increasing over time. [citation needed] The average number of authors per paper is higher as well. The percentage of new authors is between 68% ...
The LRE Map originated under the name "LREC Map" during the preparation of LREC 2010 conference. [3] More specifically, the idea was discussed within the FlaReNet project, and in collaboration with ELRA and the Institute of Computational Linguistics of CNR in Pisa, the Map was put in place at LREC 2010. [4]
Petrov, Slav, Dipon Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. The International Conference on Language Resources and Evaluation (LREC) 2012, 2089–2096. Istanbul. Zeman, Daniel. 2008. Reusable tagset conversion using tagset drivers. In The International Conference on Language Resources and Evaluation (LREC) 2008, 213–218.
This page was last edited on 15 February 2009, at 17:39 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
In addition to its LREC mission, CAOCL housed the Translational Research Group, a multidisciplinary team of social scientists who supported CAOCL's curriculum development, led its assessment platform, and conducted research on a wide range of issues related to Marines and Marine Corps organizations.
In linguistics and language technology, a language resource is a "[composition] of linguistic material used in the construction, improvement and/or evaluation of language processing applications, (...) in language and language-mediated research studies and applications."
UBY-LMF [1] [2] is a format for standardizing lexical resources for Natural Language Processing (NLP). [3] UBY-LMF conforms to the ISO standard for lexicons: LMF, designed within the ISO-TC37, and constitutes a so-called serialization of this abstract standard. [4]
UBY-LMF [3] [4] is a format for standardizing lexical resources for Natural Language Processing (NLP). [5] UBY-LMF conforms to the ISO standard for lexicons: LMF, designed within the ISO-TC37, and constitutes a so-called serialization of this abstract standard. [6]