Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gao, Hanning"'
Session-based recommendation (SBR) is proposed to recommend items within short sessions given that user profiles are invisible in various scenarios nowadays, such as e-commerce and short video recommendation. There is a common scenario that user spec
Externí odkaz:
http://arxiv.org/abs/2112.15352
Considering a collection of RDF triples, the RDF-to-text generation task aims to generate a text description. Most previous methods solve this task using a sequence-to-sequence model or using a graph-based model to encode RDF triples and to generate
Externí odkaz:
http://arxiv.org/abs/2111.10545
Knowledge graph question answering (KGQA) based on information retrieval aims to answer a question by retrieving answer from a large-scale knowledge graph. Most existing methods first roughly retrieve the knowledge subgraphs (KSG) that may contain ca
Externí odkaz:
http://arxiv.org/abs/2111.10541
Autor:
Wu, Lingfei, Chen, Yu, Shen, Kai, Guo, Xiaojie, Gao, Hanning, Li, Shucheng, Pei, Jian, Long, Bo
Deep learning has become the dominant approach in coping with various tasks in Natural LanguageProcessing (NLP). Although text inputs are typically represented as a sequence of tokens, there isa rich variety of NLP problems that can be best expressed
Externí odkaz:
http://arxiv.org/abs/2106.06090