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How to Evaluate your Question Answering System Every Day and Still Get Real Work Done

E. Breck, J. Burger, L. Ferro, L. Hirschman, D. House, M. Light, и I. Mani. (2000)cite arxiv:cs/0004008Comment: 6 pages, 3 figures, to appear in Proceedings of the Second International Conference on Language Resources and Evaluation (LREC 2000).

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Damien Breck

Robert Evans Breck

Peter Breckwoldt

Britta Alexandra Breckwoldt

Jürgen Breckenkamp

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Analyses for elucidating current question answering technology.M. Light, G. Mann, E. Riloff, и E. Breck. Nat. Lang. Eng., 7 (4): 325-342 (2001)The ML test score: A rubric for ML production readiness and technical debt reduction.E. Breck, S. Cai, E. Nielsen, M. Salib, и D. Sculley. IEEE BigData, стр. 1123-1132. IEEE Computer Society, (2017)Question Answering from Large Document CollectionsE. Breck, J. Burger, D. House, M. Light, и I. Mani. Proc. 1999 AAAI Fall Symposium on Question Answering Systems, (1999)Forthcoming.Looking under the hood: tools for diagnosing your question answering engineE. Breck, M. Light, G. Mann, E. Riloff, B. Brown, P. An, M. Rooth, и M. Thelen. In ACL-2001 Workshop on OpenDomain Question Answering, (2001)A Sys Called Qanda.E. Breck, J. Burger, L. Ferro, D. House, M. Light, и I. Mani. TREC, том 500-246 из NIST Special Publication, National Institute of Standards and Technology (NIST), (1999)Another Sys Called Qanda.E. Breck, J. Burger, L. Ferro, W. Greiff, M. Light, I. Mani, и J. Rennie. TREC, том 500-249 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2000)A New Start: Innovative Introductory AI-Centered Courses at Cornell.E. Breck, D. Easley, K. Fan, J. Kleinberg, L. Lee, J. Wofford, и R. Zabih. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science, стр. 8-13. AAAI, (2008)A simple system for detecting non-entailment.E. Breck. TAC, NIST, (2009)Looking Under the Hood : Tools for Diagnosing your Question Answering EngineE. Breck, M. Light, G. Mann, E. Riloff, B. Brown, P. Anand, M. Rooth, и M. Thelen. CoRR, (2001)Empirical Methods for Fine-grained Opinion Extraction from Text.E. Breck. Cornell University, USA, (2008)

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