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Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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Knowing the No-match: Entity Alignment with Dangling Cases ...
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Salience-Aware Event Chain Modeling for Narrative Understanding ...
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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis ...
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Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer ...
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Cross-lingual Entity Alignment with Incidental Supervision ...
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ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis
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Examining Gender Bias in Languages with Grammatical Gender ...
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Retrofitting Contextualized Word Embeddings with Paraphrases ...
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Learning Bilingual Word Embeddings Using Lexical Definitions ...
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Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment ...
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Abstract:
Multilingual knowledge graph (KG) embeddings provide latent semantic representations of entities and structured knowledge with cross-lingual inferences, which benefit various knowledge-driven cross-lingual NLP tasks. However, precisely learning such cross-lingual inferences is usually hindered by the low coverage of entity alignment in many KGs. Since many multilingual KGs also provide literal descriptions of entities, in this paper, we introduce an embedding-based approach which leverages a weakly aligned multilingual KG for semi-supervised cross-lingual learning using entity descriptions. Our approach performs co-training of two embedding models, i.e. a multilingual KG embedding model and a multilingual literal description embedding model. The models are trained on a large Wikipedia-based trilingual dataset where most entity alignment is unknown to training. Experimental results show that the performance of the proposed approach on the entity alignment task improves at each iteration of co-training, and ... : To appear in IJCAI-18 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1806.06478 https://dx.doi.org/10.48550/arxiv.1806.06478
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Quantification and Analysis of Scientific Language Variation Across Research Fields ...
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Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment ...
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