3 citations · 7 across the 3 of their papers we have counts for
4 papers
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner
Lavanya Sita Tekumalla, Sharmistha
Interpretable semantic textual similarity (iSTS) task adds a crucial explanatory layer to pairwise sentence similarity. We address various components of this task: chunk level sema…
Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling
Lavanya Sita Tekumalla, Priyanka Agrawal, Indrajit Bhattacharya
Dirichlet Process(DP) is a Bayesian non-parametric prior for infinite mixture modeling, where the number of mixture components grows with the number of data items. The Hierarchical…
Reverse Engineering Point Clouds to Fit Tensor Product B-Spline Surfaces by Blending Local Fits
Lavanya Sita Tekumalla, Elaine Cohen
Being able to reverse engineer from point cloud data to obtain 3D models is important in modeling. As our main contribution, we present a new method to obtain a tensor product B-sp…
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
Existing caching strategies, in the storage domain, though well suited to exploit short range spatio-temporal patterns, are unable to leverage long-range motifs for improving hitra…