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08/08/2022
Learning Entity Linking Features for Emerging Entities
Entity linking (EL) is the process of linking entity mentions appearing ...
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02/28/2022
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models
Previous works show the great potential of pre-trained language models (...
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10/14/2021
Towards More Effective and Economic Sparsely-Activated Model
The sparsely-activated models have achieved great success in natural lan...
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09/14/2021
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
Pre-trained model such as BERT has been proved to be an effective tool f...
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05/18/2021
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
Recent years have witnessed great progress on building emotional chatbot...
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02/15/2021
OntoZSL: Ontology-enhanced Zero-shot Learning
Zero-shot Learning (ZSL), which aims to predict for those classes that h...
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10/24/2020
FedE: Embedding Knowledge Graphs in Federated Setting
Knowledge graphs (KGs) consisting of triples are always incomplete, so i...
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09/15/2020
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Long-tailed relation classification is a challenging problem as the head...
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04/07/2020
Generative Adversarial Zero-shot Learning via Knowledge Graphs
Zero-shot learning (ZSL) is to handle the prediction of those unseen cla...
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08/23/2019
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model
Entity extraction and relation extraction are two indispensable building...
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10/29/2017
Path-Based Attention Neural Model for Fine-Grained Entity Typing
Fine-grained entity typing aims to assign entity mentions in the free te...
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03/30/2017
Efficient Parallel Translating Embedding For Knowledge Graphs
Knowledge graph embedding aims to embed entities and relations of knowle...
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12/04/2015