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Cross-correlation of specification and RTL for soft IP analysis., , , , , and . DATE, page 1-6. European Design and Automation Association, (2014)Adapting Covariate Shift for Legal AI., and . ICAIL, page 252-253. ACM, (2019)Neural Attention Learning for Legal Query Reformulation., and . ICAIL, page 272-273. ACM, (2019)Legal Query Reformulation using Deep Learning., and . ASAIL@ICAIL, volume 2385 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Deep Ensemble Learning for Legal Query Understanding., and . CIKM Workshops, volume 2482 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)NEFCIS: Neuro-fuzzy Concept Based Inference System for Specification Mining., , , and . ICTAI, page 337-343. IEEE Computer Society, (2013)Data Shift in Legal AI Systems., and . ASAIL@ICAIL, volume 2385 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Ontology-guided Conceptual Analysis of Design Specifications., , , and . DAC, page 34:1-34:6. ACM, (2014)Knowledge-Guided Methodology for Third-Party Soft IP Analysis., , , , , and . VLSID, page 246-251. IEEE Computer Society, (2014)Knowledge-Guided Methodology for Specification Analysis., , , , , , , and . ICTAI, page 749-754. IEEE Computer Society, (2013)