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01/14/2023
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning
Drug combination therapy is a well-established strategy for disease trea...
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04/29/2022
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
Knowledge graph (KG) embedding methods which map entities and relations ...
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11/07/2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Distance based knowledge graph embedding methods show promising results ...
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09/16/2020
Question Directed Graph Attention Network for Numerical Reasoning over Text
Numerical reasoning over texts, such as addition, subtraction, sorting a...
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04/26/2020
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check
Chinese Spelling Check (CSC) is a task to detect and correct spelling er...
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03/09/2020
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Knowledge graph models world knowledge as concepts, entities, and the re...
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09/08/2019
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
The ability of semantic reasoning over the sentence pair is essential fo...
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08/16/2019
BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction
In this paper, we report our method for the Information Extraction task ...
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03/11/2019
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning
The ambiguous annotation criteria bring into the divergence of Chinese W...
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08/01/2017
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Low-rank modeling has many important applications in computer vision and...
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09/27/2016
Generalization Error Bounds for Optimization Algorithms via Stability
Many machine learning tasks can be formulated as Regularized Empirical R...
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04/23/2014
