Learning over Knowledge-Base Embeddings for Recommendation [PDF]
Algorithms, 2018 State-of-the-art recommendation algorithms -- especially the collaborative filtering (CF) based approaches with shallow or deep models -- usually work with various unstructured information sources for recommendation, such as textual reviews, visual ...
Ai, Qingyao +3 more
core +3 more sources
Hippocampome.org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits [PDF]
eLifeHippocampome.org is a mature open-access knowledge base of the rodent hippocampal formation focusing on neuron types and their properties. Previously, Hippocampome.org v1.0 established a foundational classification system identifying 122 hippocampal ...
Diek W Wheeler +6 more
doaj +2 more sources
Few-shot In-context Learning on Knowledge Base Question Answering [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Question answering over knowledge bases is considered a difficult problem due to the challenge of generalizing to a wide variety of possible natural language questions.
Tianle Li +5 more
semanticscholar +1 more source
Crawling The Internal Knowledge-Base of Language Models [PDF]
Findings, 2023 Language models are trained on large volumes of text, and as a result their parameters might contain a significant body of factual knowledge. Any downstream task performed by these models implicitly builds on these facts, and thus it is highly desirable ...
Roi Cohen +3 more
semanticscholar +1 more source
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Recent works on knowledge base question answering (KBQA) retrieve subgraphs for easier reasoning. The desired subgraph is crucial as a small one may exclude the answer but a large one might introduce more noises. However, the existing retrieval is either
Jing Zhang +6 more
semanticscholar +1 more source
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions [PDF]
International Joint Conference on Artificial Intelligence, 2021 Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicated questions.
Yunshi Lan +5 more
semanticscholar +1 more source
Complex Knowledge Base Question Answering: A Survey [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2021 Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved great success.
Yunshi Lan +5 more
semanticscholar +1 more source
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning [PDF]
International Joint Conference on Artificial Intelligence, 2020 A compelling approach to complex question answering is to convert the question to a sequence of actions, which can then be executed on the knowledge base to yield the answer, aka the programmer-interpreter approach.
Jian Liu +5 more
semanticscholar +1 more source
PRINCIPLES OF FORMATION OF e-NETWORK KNOWLEDGE BASES IN THE FORMAT OF OPERATIONALLY STRUCTURED SCENARIOS [PDF]
Modern Management Review, 2020 A brief analysis of the principles of formation of modern network knowledge bases is given. The principles of management of information sources accompanying the process of formation of network knowledge bases are described.
Tetyana Kalna-Dubinyuk, Sergey Kalnoy
doaj +1 more source
The Embedded Strategy of Enterprise Innovation Network Based on Knowledge Base [PDF]
SHS Web of Conferences, 2021 Constructing the innovation network is an important means of breakthrough in the traditional manufacturers for the emerging e-commerce platform, based on two different levels of innovation network node, content and structure, YEATION and YOUPIN were ...
Li Chen Guang +2 more
doaj +1 more source