In 2013, it expanded its suite of predictive applications to marketing with Lattice Predictive Lead Scoring. [5] In 2019, Lattice Engines was acquired by Dun & Bradstreet. [6] Software...
Optimizing Video Object Detection via a Scale-Time Lattice Kai Chen 1 Jiaqi Wang 1 Shuo Yang... re-scoring. It is very expensive, as it requires per-frame feature computation by deep...
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hang Su UMass Amherst NVIDIA... high-dimensional lattice. Naı̈vely applying convolutions on this lattice scales poorly, both...
Using Word Lattice Information for a Tighter Coupling in Speech Translation Systems Shirin... word lattice. The information in the word lattice and the scores from the recognizer can be...
often lead to incompatibilities with Trellis. We give examples and brief justification for some of these extensions. 2 The role of Grid in Lattice Trellis Graphics is different from...
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Constituency Lattice Encoding for Aspect Term Extraction... To this end, we first construct a constituency lattice... Then, we present two approaches to encoding the constituency lattice...
Predictive lead scoring allows you to forecast how much each lead matters with utmost accuracy. Click to learn how and why you should apply it.
c ©2013 Association for Computational Linguistics A Lattice... novel lattice-based framework in which a Chinese sentence is first segmented into a word lattice, and then a lattice-based...
A PARALLELIZABLE LATTICE RESCORING STRATEGY WITH NEURAL LANGUAGE MODELS Ke Li1, Daniel Povey3... based lattice expansion algorithm for efficient lattice rescoring with neurallanguage models...