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Found 4 papers, 1 papers with code
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
This paper introduces a novel framework for document-level event extraction, incorporating a new data structure called token-event-role and a multi-channel argument role prediction module.
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning
Vehicle mobility optimization in urban areas is a long-standing problem in smart city and spatial data analysis.
Weighted Aggregating Stochastic Gradient Descent for Parallel Deep Learning
Following a theoretical analysis on the characteristics of the new objective function, WASGD introduces a decentralized weighted aggregating scheme based on the performance of local workers.
Enhancing Domain Word Embedding via Latent Semantic Imputation
We present a novel method named Latent Semantic Imputation (LSI) to transfer external knowledge into semantic space for enhancing word embedding.
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