117 citations · 599 across the 37 of their papers we have counts for
8 papers · 1 filter
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion
Hao Huang, Guodong Long, Tao Shen +2
Many graph embedding approaches have been proposed for knowledge graph completion via link prediction. Among those, translating embedding approaches enjoy the advantages of light-w…
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
Yang Li, Guodong Long, Tao Shen +4
Distantly supervised relation extraction intrinsically suffers from noisy labels due to the strong assumption of distant supervision. Most prior works adopt a selective attention m…
Temporal Self-Attention Network for Medical Concept Embedding
Xueping Peng, Guodong Long, Tao Shen +3
In longitudinal electronic health records (EHRs), the event records of a patient are distributed over a long period of time and the temporal relations between the events reflect su…
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
Tao Shen, Xiubo Geng, Tao Qin +3
Many algorithms for Knowledge-Based Question Answering (KBQA) depend on semantic parsing, which translates a question to its logical form. When only weak supervision is provided, i…
Learning Private Neural Language Modeling with Attentive Aggregation
Shaoxiong Ji, Shirui Pan, Guodong Long +3
Mobile keyboard suggestion is typically regarded as a word-level language modeling problem. Centralized machine learning technique requires massive user data collected to train on,…
Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together
Tao Shen, Tianyi Zhou, Guodong Long +2
Neural networks equipped with self-attention have parallelizable computation, light-weight structure, and the ability to capture both long-range and local dependencies. Further, th…