A survey on complex question answering over knowledge base: Recent advances and challenges
Question Answering (QA) over Knowledge Base (KB) aims to automatically answer natural
language questions via well-structured relation information between entities stored in …
language questions via well-structured relation information between entities stored in …
Knowledge graph embedding: A survey from the perspective of representation spaces
Knowledge graph embedding (KGE) is an increasingly popular technique that aims to
represent entities and relations of knowledge graphs into low-dimensional semantic spaces …
represent entities and relations of knowledge graphs into low-dimensional semantic spaces …
BERT post-training for review reading comprehension and aspect-based sentiment analysis
Question-answering plays an important role in e-commerce as it allows potential customers
to actively seek crucial information about products or services to help their purchase …
to actively seek crucial information about products or services to help their purchase …
A survey on knowledge graph embedding: Approaches, applications and benchmarks
Y Dai, S Wang, NN Xiong, W Guo - Electronics, 2020 - mdpi.com
A knowledge graph (KG), also known as a knowledge base, is a particular kind of network
structure in which the node indicates entity and the edge represent relation. However, with …
structure in which the node indicates entity and the edge represent relation. However, with …
Dependency-driven relation extraction with attentive graph convolutional networks
Syntactic information, especially dependency trees, has been widely used by existing
studies to improve relation extraction with better semantic guidance for analyzing the context …
studies to improve relation extraction with better semantic guidance for analyzing the context …
An end-to-end model for question answering over knowledge base with cross-attention combining global knowledge
With the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of
them becomes increasingly important. Question answering over knowledge base (KB-QA) is …
them becomes increasingly important. Question answering over knowledge base (KB-QA) is …
Query graph generation for answering multi-hop complex questions from knowledge bases
Previous work on answering complex questions from knowledge bases usually separately
addresses two types of complexity: questions with constraints and questions with multiple …
addresses two types of complexity: questions with constraints and questions with multiple …
Inter-sentence relation extraction with document-level graph convolutional neural network
Inter-sentence relation extraction deals with a number of complex semantic relationships in
documents, which require local, non-local, syntactic and semantic dependencies. Existing …
documents, which require local, non-local, syntactic and semantic dependencies. Existing …
[PDF][PDF] T-rex: A large scale alignment of natural language with knowledge base triples
H Elsahar, P Vougiouklis, A Remaci… - Proceedings of the …, 2018 - aclanthology.org
Alignments between natural language and Knowledge Base (KB) triples are an essential
prerequisite for training machine learning approaches employed in a variety of Natural …
prerequisite for training machine learning approaches employed in a variety of Natural …
Improved neural relation detection for knowledge base question answering
Relation detection is a core component for many NLP applications including Knowledge
Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural …
Base Question Answering (KBQA). In this paper, we propose a hierarchical recurrent neural …