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06/16/2023
M3PT: A Multi-Modal Model for POI Tagging
POI tagging aims to annotate a point of interest (POI) with some informa...
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06/03/2023
Accelerating Personalized PageRank Vector Computation
Personalized PageRank Vectors are widely used as fundamental graph-learn...
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05/22/2023
Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction
Analogical reasoning is essential for human cognition, allowing us to co...
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05/10/2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
Analogical reasoning is a fundamental cognitive ability of humans. Howev...
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05/09/2023
Distilling Script Knowledge from Large Language Models for Constrained Language Planning
In everyday life, humans often plan their actions by following step-by-s...
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05/03/2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
Concepts benefit natural language understanding but are far from complet...
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11/25/2022
Group Buying Recommendation Model Based on Multi-task Learning
In recent years, group buying has become one popular kind of online shop...
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10/10/2022
Improving Continual Relation Extraction through Prototypical Contrastive Learning
Continual relation extraction (CRE) aims to extract relations towards th...
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10/06/2022
Generative Entity Typing with Curriculum Learning
Entity typing aims to assign types to the entity mentions in given texts...
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08/30/2022
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
The concepts in knowledge graphs (KGs) enable machines to understand nat...
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07/27/2022
Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation
Most sequential recommendation (SR) systems employing graph neural netwo...
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07/27/2022
Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversation
Emotion recognition in conversation (ERC) aims to detect the emotion for...
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05/28/2022
Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
Compared with traditional sentence-level relation extraction, document-l...
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04/07/2021
A Question-answering Based Framework for Relation Extraction Validation
Relation extraction is an important task in knowledge acquisition and te...
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12/09/2020
Complex Relation Extraction: Challenges and Opportunities
Relation extraction aims to identify the target relations of entities in...
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06/19/2020
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Most of existing embedding based recommendation models use embeddings (v...
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06/18/2020
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deep neural networks (DNNs) have been widely employed in recommender sys...
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06/12/2020