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The NIST data science evaluation series: Part of the NIST information access division data science initiative.

, , , , , , , and . IEEE BigData, page 2840-2842. IEEE Computer Society, (2015)

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Generating targeted paraphrases for improved translation., and . ACM TIST, 4 (3): 40:1-40:25 (2013)Iterative translation disambiguation for cross-language information retrieval., and . SIGIR, page 520-527. ACM, (2005)Introduction: Special issue on building lexicons for machine translation., and . Mach. Transl., 10 (1-2): 1-3 (1995)From syntactic encodings to thematic roles: Building lexical entries for interlingual MT., , and . Mach. Transl., 9 (3-4): 221-250 (1994)TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate., , , and . Mach. Transl., 23 (2-3): 117-127 (2009)Detecting Asks in SE attacks: Impact of Linguistic and Structural Knowledge., , , , , , , , , and . CoRR, (2020)Multi-candidate reduction: Sentence compression as a tool for document summarization tasks., , , and . Inf. Process. Manag., 43 (6): 1549-1570 (2007)Automatically Deriving Tectogrammatical Labels from Other Resources: A Comparison of Semantic Labels Across Frameworks., , , , and . Prague Bull. Math. Linguistics, (2003)Opinion Analysis in Document Databases., , , , , and . AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, page 21-26. AAAI, (2006)Hybrid Natural Language Generation from Lexical Conceptual Structures., , and . Mach. Transl., 18 (2): 81-128 (2003)